Intermediate-Node Initiated Reservation (IIR): A New Signaling Scheme for Wavelength-Routed Networks with Sparse Conversion

Similar documents
Energy-Efficient Cellular Communications Powered by Smart Grid Technology

Performance Evaluation of UWB Sensor Network with Aloha Multiple Access Scheme

A New Localization and Tracking Algorithm for Wireless Sensor Networks Based on Internet of Things

COMPARISON OF TOKEN HOLDING TIME STRATEGIES FOR A STATIC TOKEN PASSING BUS. M.E. Ulug

Adaptive Harmonic IIR Notch Filter with Varying Notch Bandwidth and Convergence Factor

Interference Management in LTE Femtocell Systems Using Fractional Frequency Reuse

A Study of Dynamic Routing and Wavelength Assignment with Imprecise Network State Information

DSI3 Sensor to Master Current Threshold Adaptation for Pattern Recognition

Investigating Multiple Alternating Cooperative Broadcasts to Enhance Network Longevity

Distributed Resource Allocation for Proportional Fairness in Multi-Band Wireless Systems

Group Secret Key Generation in Wireless Networks: Algorithms and Rate Optimization

Keywords Frequency-domain equalization, antenna diversity, multicode DS-CDMA, frequency-selective fading

SECURITY AND BER PERFORMANCE TRADE-OFF IN WIRELESS COMMUNICATION SYSTEMS APPLICATIONS

PREDICTING SOUND LEVELS BEHIND BUILDINGS - HOW MANY REFLECTIONS SHOULD I USE? Apex Acoustics Ltd, Gateshead, UK

A Selection Region Based Routing Protocol for Random Mobile ad hoc Networks with Directional Antennas

A Novel NLOS Mitigation Approach for Wireless Positioning System

SAMPLING PERIOD ASSIGNMENT FOR NETWORKED CONTROL SYSTEMS BASED ON THE PLANT OPERATION MODE

Power-Efficient Resource Allocation for MC-NOMA with Statistical Channel State Information

An orthogonal multi-beam based MIMO scheme. for multi-user wireless systems

LETTER Adaptive Multi-Stage Parallel Interference Cancellation Receiver for Multi-Rate DS-CDMA System

OPTIMIZE THE POWER CONTROL AND NETWORK LIFETIME USING ZERO - SUM GAME THEORY FOR WIRELESS SENSOR NETWORKS

Power Improvement in 64-Bit Full Adder Using Embedded Technologies Er. Arun Gandhi 1, Dr. Rahul Malhotra 2, Er. Kulbhushan Singla 3

Kalman Filtering for NLOS Mitigation and Target Tracking in Indoor Wireless Environment

Allocation of Multiple Services in Multi-Access Wireless Systems

Radio Resource Management in a Coordinated Cellular Distributed Antenna System By Using Particle Swarm Optimization

Transmit Beamforming and Iterative Water-Filling Based on SLNR for OFDMA Systems

Study and Implementation of Complementary Golay Sequences for PAR reduction in OFDM signals

Analysis on DV-Hop Algorithm and its variants by considering threshold

Simplified Analysis and Design of MIMO Ad Hoc Networks

Design of an Arrayed Waveguide Grating with flat spectral response

Performance Analysis of Atmospheric Field Conjugation Adaptive Arrays

POWER QUALITY ASSESSMENT USING TWO STAGE NONLINEAR ESTIMATION NUMERICAL ALGORITHM

Transmit Power and Bit Allocations for OFDM Systems in a Fading Channel

Outage Probability of Alamouti based Cooperative Communications with Multiple Relay Nodes using Network Coding

A simple charge sensitive preamplifier for experiments with a small number of detector channels

Power Optimal Signaling for Fading Multi-access Channel in Presence of Coding Gap

Iterative Receiver Signal Processing for Joint Mitigation of Transmitter and Receiver Phase Noise in OFDM-Based Cognitive Radio Link

INTERNATIONAL TELECOMMUNICATION UNION

Fundamental study for measuring microflow with Michelson interferometer enhanced by external random signal

Spectrum Sensing in Low SNR: Diversity Combining and Cooperative Communications

Beacon-driven Leader Based Protocol over a GE Channel for MAC Layer Multicast Error Control

Performance Analysis of an AMC System with an Iterative V-BLAST Decoding Algorithm

Overlapped frequency-time division multiplexing

Yield Enhancement Techniques for 3D Memories by Redundancy Sharing among All Layers

OTC Statistics of High- and Low-Frequency Motions of a Moored Tanker. sensitive to lateral loading such as the SAL5 and

A soft decision decoding of product BCH and Reed-Müller codes for error control and peak-factor reduction in OFDM

ARecent report pointed out that in 2014 the amount of data

DIRECT MAPPING OVSF-BASED TRANSMISSION SCHEME FOR UNDERWATER ACOUSTIC MULTIMEDIA COMMUNICATION

Success Probability of Millimeter-Wave D2D Networks with Heterogeneous Antenna Arrays

FORWARD MASKING THRESHOLD ESTIMATION USING NEURAL NETWORKS AND ITS APPLICATION TO PARALLEL SPEECH ENHANCEMENT

Distributed Power Delivery for Energy Efficient and Low Power Systems

Optimal Modulation Index of the Mach-Zehnder Modulator in a Coherent Optical OFDM System Employing Digital Predistortion

ELEC2202 Communications Engineering Laboratory Frequency Modulation (FM)

TESTING OF ADCS BY FREQUENCY-DOMAIN ANALYSIS IN MULTI-TONE MODE

Multicarrier Interleave-Division Multiple Access Communication in Multipath Channels

Available online at ScienceDirect. Procedia Technology 24 (2016 )

COMBINED FREQUENCY AND SPATIAL DOMAINS POWER DISTRIBUTION FOR MIMO-OFDM TRANSMISSION

Robust Acceleration Control of Electrodynamic Shaker Using µ Synthesis

A New Simple Model for Land Mobile Satellite Channels

Packet Loss and Delay Combined Optimization for Satellite Channel Bandwidth Allocation Controls

Model Development for the Wideband Vehicle-to-vehicle 2.4 GHz Channel

This is a repository copy of Group Secret Key Generation in Wireless Networks : Algorithms and Rate Optimization.

Introduction Traditionally, studying outage or cellular systes has been based on the signal-to-intererence ratio (SIR) dropping below a required thres

Cooperative Hybrid-ARQ Protocols: Unified Frameworks for Protocol Analysis

Keywords: International Mobile Telecommunication (IMT) Systems, evaluating the usage of frequency bands, evaluation indicators

Notes on Orthogonal Frequency Division Multiplexing (OFDM)

Comparing structural airframe maintenance strategies based on probabilistic estimates of the remaining useful service life

New Adaptive Linear Combination Structure for Tracking/Estimating Phasor and Frequency of Power System

EQUALIZED ALGORITHM FOR A TRUCK CABIN ACTIVE NOISE CONTROL SYSTEM

Compensated Single-Phase Rectifier

Performance of Multiuser MIMO System Employing Block Diagonalization with Antenna Selection at Mobile Stations

Routing and Wavelength Assignment in All-Optical DWDM Transport Networks with Sparse Wavelength Conversion Capabilities. Ala I. Al-Fuqaha, Ph.D.

EFFECTS OF MASKING ANGLE AND MULTIPATH ON GALILEO PERFORMANCES IN DIFFERENT ENVIRONMENTS

Real Time Etch-depth Measurement Using Surface Acoustic Wave Sensor

Texas Transportation Institute The Texas A&M University System College Station, Texas

Cross-correlation tracking for Maximum Length Sequence based acoustic localisation

Using Adaptive Modulation in a LEO Satellite Communication System

Dynamic Model Displacement for Model-mediated Teleoperation

NINTH INTERNATIONAL CONGRESS ON SOUND AND VIBRATION, ICSV9 PASSIVE CONTROL OF LAUNCH NOISE IN ROCKET PAYLOAD BAYS

A NEW APPROACH TO UNGROUNDED FAULT LOCATION IN A THREE-PHASE UNDERGROUND DISTRIBUTION SYSTEM USING COMBINED NEURAL NETWORKS & WAVELET ANALYSIS

Distributed Resource Allocation Assisted by Intercell Interference Mitigation in Downlink Multicell MC DS-CDMA Systems

Track-Before-Detect for an Active Towed Array Sonar

International Journal of Advanced Research in Electronics and Communication Engineering (IJARECE) Volume 3, Issue 9, September 2014

Ad Hoc Networks. Opportunistic reliability for cognitive radio sensor actor networks in smart grid. Ozgur Ergul, A. Ozan Bicen, Ozgur B.

Performance Analysis of Reversible Fast Decimal Adders

Uplink blocking probability calculation for cellular systems with WCDMA radio interface and finite source population

Analysis and Comparison of Time Replica and Time Linear Interpolation for Pilot Aided Channel Estimation in OFDM Systems

A Novel TDS-FDMA Scheme for Multi-User Uplink Scenarios

Research Article Dynamic Beamforming for Three-Dimensional MIMO Technique in LTE-Advanced Networks

Receiver Design for Downlink MIMO MC-CDMA in Cognitive Radio Systems

Parameter Identification of Transfer Functions Using MATLAB

Enhanced Algorithm for MIESM

Incorporating Performance Degradation in Fault Tolerant Control System Design with Multiple Actuator Failures

Optical Magnetic Response in a Single Metal Nanobrick. Jianwei Tang, Sailing He, et al.

A 1.2V rail-to-rail 100MHz amplifier.

Evolutionary Computing Based Antenna Array Beamforming with Low Probabality of Intercept Property

IMPROVEMENT OF FAR FIELD RADIATION PATTERN OF LINEAR ARRAY ANTENNA USING GENETIC ALGORITHM

We are IntechOpen, the world s leading publisher of Open Access books Built by scientists, for scientists. International authors and editors

Precise Indoor Localization System For a Mobile Robot Using Auto Calibration Algorithm

REPORT ITU-R SA Telecommunication characteristics and requirements for space VLBI systems

Transcription:

Interediate-Node Initiated Reservation IIR): A New Signaling Schee for Wavelength-Routed Networks with Sparse Conversion Kejie Lu, Jason P. Jue, Tiucin Ozugur, Gaoxi Xiao, and Irich Chlatac The Center for Advanced Telecounications Systes and Services The University of Texas at Dallas, Richardson, TX 7503 Alcatel Research and Innovation Center, Plano, TX 75075 School of Electrical and Electronic Engineering Nanyang Technological University, Singapore 3979 Abstract In this work, we propose a new distributed signaling schee, within the GMPLS fraework, for establishing lightpaths in wavelength-routed networks with sparse wavelength conversion. Analytical odels are developed to evaluate the perforance of the proposed schee. Theoretical and siulation results show that copared to the classic schee designed priarily for networks with no wavelength conversion, the proposed signaling schee can achieve uch lower blocking probability. I. INTRODUCTION Wavelength division ultiplexing WDM) technology has been progressing steadily. Existing systes are now capable of providing a total of ore than 1 Tbps bandwidth on a single optical fiber. To fully utilize these high data rates, all-optical connections, or lightpath [1], can be established between source and destination nodes. Lightpath-based optical networks are generally referred to as wavelength-routed networks. Traffic in a wavelength-routed network ay be static, in which case connections are known in advance and reain in the network sei-peranently, or traffic ay be dynaic, in which connection requests arrive and depart over tie. In this work, we will consider dynaic traffic, which is the natural setting for future networks. To accoodate connection requests dynaically, a lightpath establishent schee is required to find a route and assign a wavelength for the given connection request. This schee can be either centralized or distributed. A centralized schee ay perfor ore efficiently when the network is sall and the traffic is not bursty. However, a distributed schee ay be ore appropriate for large optical networks and bursty Internet traffic. Distributed schees have been proposed and are now being standardized within the fraework of the generalized ulti-protocol label switching GMPLS) [2]. In this paper, we will focus on distributed control schees. A key perforance figure in lightpath establishent is the connection blocking probability, the probability that an arriving connection request will be rejected. For a network in which all nodes have full wavelength conversion, a connection request will be accepted if every link in the path fro source to destination has at least one wavelength. On the other hand, in a network without wavelength conversion, a connection request will be rejected if a coon wavelength cannot be found on the route between the source and destination, even though all links in the path ay have wavelengths. The constraint that a lightpath ust use the sae wavelength along the entire path is known as wavelength continuity constraint [1]. Although full wavelength conversion is desirable fro a blocking perspective, it is difficult to ipleent due to the high cost of converters, which are expected to reain expensive in the near future [4]. A possible solution is to equip only a subset of nodes with converters. This approach is referred to as sparse conversion. The perforance of sparse conversion in a centralized network has been studied in [5]; however, the perforance in a distributed network, particularly within the GMPLS fraework, has not been studied. In this paper, we present a new signaling schee, within the GMPLS fraework, for establishing lightpaths in a wavelength-routed network with sparse conversion. Analytical odels are proposed for evaluating the perforance of the new schee. Analysis and siulation results show that the proposed signaling schee can significantly iprove syste perforance in ters of blocking probability. The rest of paper is organized as follows. In Section II, we elaborate on the Interediate-Node Initiated Reservation IIR) schee. Analytical odels are developed in Section III to evaluate the blocking perforance of the proposed schee. Nuerical results are presented in Section IV. Section V concludes the paper. II. INTERMEDIATE-NODE INITIATED RESERVATION IIR) In a GMPLS-based network, routing protocols such as Open Shortest Path First with Traffic Engineering OSPF-TE) are used to exchange routing inforation, including topology and resource availability. Upon receiving a connection request, a route is calculated by using a constraint-based routing algorith. Once the route is deterined, a signaling schee is responsible for establishing lightpaths. Candidates for the signaling protocol within the GMPLS fraework include the Resource reservation Protocol with TE RSVP-TE) and the Constraint-based Routing Label Distribution Protocol CR- LDP). Regardless of which signaling protocol is used, there is no guarantee that the updated global inforation with respect to wavelength availability on each link will be in a distributed environent. Link state inforation ay becoe

λ1 λ2 λ3 λ1 λ2 λ4 λ3 λ4 d1 d2 d3 d4 λ3 λ4 outdated because the update essages are broadcast only periodically and also because it takes soe tie for the updates to propagate to a node. The proble of outdated inforation does not exist in centralized schees. A well-known distributed signaling ethod that can be supported by GMPLS networks is the destination-initiated reservation DIR) ethod [3]. In the DIR ethod, a connection request is forwarded fro the source to the destination, collecting the wavelength availability inforation of every link along the route. Based on this inforation, the destination node will select an wavelength along the path if such is ) and send a reservation request back to the source node to reserve the selected wavelength. Fig. 1 shows an exaple of the classic DIR ethod. We can see that, due to the existence of sparse wavelength conversion, different wavelengths ay be reserved on different links of the path. It has been shown that, in a network with no wavelength conversion, connection blocking due to outdated inforation ay doinate the overall perforance when the traffic load is low [], [7]. This kind of blocking can also occur in a network with sparse conversion. For exaple, on the route as shown in Fig. 1, it is possible that when the reservation request reaches node d 2, it is found that λ 1 has been reserved by another reservation request which arrived earlier. It has been shown that connection blocking due to outdated inforation increases significantly with the round trip propagation delay between the link and the destination node [], [7], i.e., the delay, denoted as vulnerable period hereafter, between the oent that the link state inforation is collected and the oent that the reservation request arrives. To lower the connection blocking due to outdated inforation, we introduce a new signaling schee, referred to as Interediate-Node Initiated Reservation IIR), by exploiting the capability of conversion. An exaple of this schee is shown in Fig. 2. We see that if the network has sparse wavelength conversion, we can separate every route into several segents, where the end nodes of each segent could only be the source node, the destination node, or a node with wavelength conversion capability. The priary observation is that the wavelength reserved in one segent can be totally indepenλ1 λ2 λ3 λ1 λ2 λ4 λ3 λ4 d1 d2 d3 d4 λ1 λ2 λ3 λ4 reserve λ3 λ1 λ2 reserve λ3 data transission data transission Fig. 1. An exaple of the classic DIR schee. Fig. 2. An exaple of the IIR schee. dent of the wavelength reserved in another segent, due to the wavelength conversion capability at the end nodes of each segent. Therefore, a segent reservation request can be issued at the end-node of a segent once the connection request reaches that node. Finally, when the connection request reaches the destination node, a priary reservation essage is sent back to reserve wavelength on the last segent and to infor the source node of the status of the lightpath establishent. By using this strategy, the vulnerable period for reserving a wavelength on a link is reduced to the round trip propagation delay between current node and the downstrea end node of the segent. Thus, blocking due to outdated inforation can be reduced. However, while the vulnerable period becoes saller, soe network capacities will be reserved for slightly longer tie before data transission begins See Fig. 2), which will increase the blocking in the forward direction. To evaluate the perforance of the proposed signaling schee, we propose two blocking analysis odels for the classic DIR ethod and the IIR schee, respectively. Both the analysis and siulation results show that the iproveent in the backward direction significantly outweighs the slight drawback in the forward direction. As a result, the overall blocking probability is significantly lowered, as we will see in Section III and IV. To ipleent the IIR schee, current signaling protocols have to be extended to enable the initiation of reservation fro an interediate node. The detailed discussions on such extensions, however, are beyond the scope of this paper. III. THEORETICAL ANALYSIS In this section, we propose blocking analysis for both the classic DIR ethod and the new IIR schee. To siplify our analysis, we ake the following assuptions: The network is coposed of J links connected in an arbitrary topology. Each link is coposed of C wavelength channels. Wavelength conversion is only at a certain given set of nodes. Besides the two end nodes of a segent, no other node in a segent has converters.

The connection requests for each pair of sourcedestination nodes arrive fro a Poisson process with an arrival rate λ R, where R denotes the fixed route between the two nodes. Connection holding tie is exponentially distributed with paraeter µ. The wavelength assignent policy is rando selection. A. Fraework For both the classic and the new schees, the fraework of the analysis is the sae. Following [7], we define the link state as the state of a link when a connection request reaches the downstrea node of the link. A wavelength channel can be in one of the following three states: 1) free; 2) reserved, yet with no data transission; and 3) occupied by data transission. We further denote that a channel is busy if it is in state 3); otherwise, it is idle. Let X j be nuber of idle wavelength channels on link j, and let q j ) be the probability that X j =. We further assue that when there are idle wavelength channels on link j, the inter-arrival tie of connection requests is exponentially distributed with a paraeter λ j ). Therefore, we have: q j ) = q j 0) µ [ 1+ C q j 0) = k=1 C k+1 λ, jk) µ k=1 C k+1 λ jk) =1, 2, C )] 1. 1) The fraework for calculating the steady state probability q j ),j =1, 2,,J can be suarized as follows: 1) Initiate λ j ),j =1, 2,,J as follows: Let λ j 0) = 0 and λ j ) = R:j R λ R,, 2,,C. 2) Calculate q j ),j =1, 2,,J through 1). 3) Calculate the blocking probability of R as: B R =1 V R =1 VR F VR B =1 1 BR) 1 B F R B ), 2) where V R denotes the probability that a reservation is successful along the route R, and superscript F and B denote the forward and backward directions, respectively. If, for every route R, B R has been convergent, then stop; otherwise, go to step 4. 4) Calculate λ j ),j =1, 2,,J as follows: λ j ) = λ R,j ) = λ R V R Xj=, 3) R:j R R:j R where λ R,j ) denotes the arrival rate of those connection requests for route R which are finally successfully accepted, given that the state of link j is. Gotostep 2. In the following subsections, we will discuss the calculation of B F R, BB R and λ j), respectively. B. Blocking in the forward direction A connection request can successfully reach the destination node if and only if, in all segents of the route, there is at least one wavelength. Therefore, V F R = S R s=1 V F s, 4) where S R denotes the nuber of segents in the route R. Within each segent, we will continue using the odel we developed in [7]. The following steady-state probabilities will be used to calculate the blocking in the forward direction: h i,s denotes the probability that a given set of i wavelength channels are free in segent s at the oent when the connection request reaches the downstrea end node of the segent. g i,j denotes the probability that a given set of i wavelength channels are idle on link j. f i,j denotes the conditional probability that a given set of i channels are free on link j, given that these i channels are idle. g i,j i,j denotes the conditional probability that a given set of i wavelength channels are idle on link j, given that t j tie slots ago they were idle on the j 1)-th link denoted as link j )ofsegents, where t j denotes the propagation delay on link j. f i,j i,j denotes the conditional probability that a given set of i wavelength channels are free on link j, given that these i channels are idle and that t j tie slots ago they were free on link j. Then we have: V F s = C 1) i+1 i i=1 ) h i,s, 5) where { gi,1 f i,1 ), L s =1 h i,s = g i,1 f i,1 ) L s j=2 g i,j i,j f i,j i,j ), L s > 1, ) where L s denotes the hop length of segent s. Because g i,j and g i,j i,j are independent of the propagation delay, they reain the sae as those in [7]. The first ite that is different in the classic and the new schees is the conditional probability f i,j, which easures the influence of propagation delay. To calculate f i,j,welet: τ R j) denote the round trip propagation delay between the source node of R and the downstrea node of link j. δ R s) denote the round trip propagation delay between the downstrea end node of segent s and the destination node of R. We define the reservation duration, t r R j), as the duration fro the oent that a channel on link j is reserved to the oent that it becoes busy. When the classic DIR is in use, the reservation duration is equal to τ R j) see Fig. 1). On the other hand, if the IIR schee is used, this duration becoes τ R j)+δ R s) see Fig. 2), where s is the segent that includes

link j. Fro the definition of f i,j,wehave f i,j = q j i ) =i R :j R 1 A R,j, t r R j)) i ), 7) where R represents the route of any interfering lightpath; q j i ) denotes the probability that channels are idle on link j given that a specific set of i channels i ) are idle on this link see [7] for details); and A R,j, t) =1 e λ R,j )t ) denotes the probability that there is one connection request for R arriving at link j during tie t. The calculation of f i,j i,j is nearly the sae as that of f i,j except that t r R j) =2 t j if R also passes through link j. C. Blocking in the backward direction Siilar to the forward blocking analysis, a reservation request is successful if and only if it is successful in all segents. Therefore, V B R = S R s=1 V B s, 9) and { Vs B ws, L s =1, = w s L s 1 j=1 w j,j, L 10) s > 1, where j denotes the j +1)-th link of segent s; w s denotes the probability that the reservation request for route R is not blocked at the downstrea node of segent s; and w j,j denotes the probability that R is not blocked at j given that j is not on the route of the interfering reservation request. For the IIR schee, w s 1 because the vulnerable period is always 0. To calculate w j,j, we first define t R j) as the round trip propagation delay between the downstrea node of link j and the destination of R. We observe that the reservation for R is blocked at link j if and only if the selected channel was reserved during vulnerable period t v R j), which equals to t R j) δ R s). Therefore, we have w j,j =1 q j ) 1 w j,j X j=), 11) where w j,j X j= takes into consideration a condition that t v R j) tie slots ago channels are idle on link j. Therefore, w j,j X j= = 1 A R,j, t v Rj))) 1 ). R :j R ;j R ) For the classic DIR schee, w j,j can still be calculated by using 11) and ) where t v R j) is replaced by t Rj). However, the calculation of w s is quite different. We first observe that a reservation for route R is blocked on the downstrea end node of segent s if and only if all channels that were have been reserved by interfering reservations which arrived during δ R s). Therefore, [ w s =1 q j ) v s Xj=n) ) ] 1 w s,n, n=1 13) where v s Xj=n) denotes the conditional probability that there are n free wavelengths along the segent s, given that there are idle channels on link j here link j denotes the downstrea neighbor link of segent s); and w s,n denotes the conditional probability that the reservation for R is not blocked at the downstrea end node of s given that δ R s) tie slots ago there were n free channels along s and idle wavelengths on j. Therefore, ) C ) C n v s Xj=n) = 1) n+i h i,s Xj=, 14) n i n R :j R i=n where h i,s Xj= is a probability siilar to h i,s, with only an additional condition X j =. A detailed discussion on this additional condition can be found in [7]. The calculation of w s,n is siilar to Vs F in 5), with C be replaced by n and h i,s be replaced by u i,s, which denotes the probability that a given set of i channels are free on link j when the reservation arrives given that δ R s) ago wavelengths were idle on this link. Therefore, u i,s = 1 A R,j, δ R s)) i ). 15) D. State Dependent Arrival Rate To coplete step 4) of the fraework in Section III-A, it reains to obtain the state dependent arrival rate λ j ). According to 3), we have to obtain V R Xj=, which can be calculated by using 5) and 10) with paraeters h i,s, w s, and w j,j replaced by h i,s Xj=, w s Xj=, and w j,j X j=, respectively. While the first and third ters have been introduced before, w s Xj= can be calculated by: w s Xj= =1 v s Xj=n) ) 1 w s,n. 1) n=1 IV. NUMERICAL RESULTS The good blocking perforance of the IIR schee and the high accuracy of the proposed analytical odels have been verified by extensive siulation results. Due to liited space, we present only the siulation results for the following Poisson traffic odel where the traffic pattern is unifor, i.e., the arrival rate of connection requests between each pair of source-destination nodes is identical; and the fixed shortest path routing is used between each pair of source-destination nodes.

0 1 2 3 15 4 5 15 7 11 9 13 11 10 SiT) AnaT) SiF) AnaF) SiB) AnaB) Fig. 3. SiT) AnaT) SiF) AnaF) SiB) AnaB) Network Topology of the NSFNet. Fig. 4. Blocking of DIR schee D=1Sec.) Fig. 5. Blocking of IIR schee D=1Sec.) SiDIR D=1Sec.) AnaDIR D=1Sec.) SiIIR D=1Sec.) AnaIIR D=1Sec.) SiDIR D=100s) AnaDIR D=100s) SiIIR D=100s) AnaIIR D=100s) Our experients are conducted on the NSFNet topology, shown in Fig. 3, where the nubers on each link denote the physical length in 100s of kiloeters. Each link consists of two directional fibers with opposite directions, with eight wavelength channels per fiber. We further assue that wavelength conversion is on nodes 3, 5, 7 and 9. In all the figures, the traffic load, easured in, denotes the noralized traffic load originating fro each node; and D D = 1 µ ) denotes the average holding tie of every connection. Figures 4 and 5 show the high accuracy of our analytical odels for the classic DIR schee and the IIR schee, respectively. We observe that, under light traffic load, the blocking priarily takes place in backward direction and is caused by outdated inforation; whereas under heavy traffic load, the blocking occurs priarily in forward direction, due to insufficient network capacity. We see that our analytical odels are highly accurate in analyzing both the forward and the backward blocking probabilities. Figures 4 and 5 also show that, though the IIR schee slightly increases the forward blocking, it significantly lowers the backward blocking. As a result, the overall blocking probability is significantly lowered, especially under light traffic load, as we can clearly observe in Fig.. Under very heavy traffic load, the forward blocking is doinant, and the blocking probabilities of the two cases is nearly the sae. In Fig., we also observe that the proposed schee perfors quite well while under bursty traffic, e.g., when D = 100 s. Fig.. Perforance of DIR vs. IIR V. CONCLUSION In this work, we proposed a new signaling schee for wavelength-routed networks with sparse conversion. Analytical odels were developed for evaluating the blocking perforance of the new schee. Analysis and siulation results show that this new signaling schee can significantly iprove the network perforance in coparison with the classic DIR ethod. REFERENCES [1] I. Chlatac, A. Ganz, and G. Kari, Lightpath counications: a novel approach to high bandwidth optical WANs, IEEE Trans. Coun., vol. 40, no. 7, pp. 1171-112, July 1992. [2] P. Ashwood-Sith, et al., Generalized MPLS: Signaling Function Description, Internet Draft, draft-ietf-pls-generalized-signalling-07.txt, Nov. 2001. [3] X. Yuan, R. Melhe, R. Gupta, Y. Mei, and C. Qiao, Distributed Control Protocols for Wavelength Reservation and Their Perforance Evaluation, Photonic Network Co., vol. 1, no. 3, pp. 207-21, 1999. [4] J. M. H. Elirghani and H. T. Mouftah, All-Optical Wavelength Conversion: Technologies and Applications in DWDM Networks, IEEE Co. Mag., March 2000, pp. -92. [5] S. Subraania, M. Azizoglu, and A. K. Soani, All-Optical Networks with Sparse Wavelength Conversion, IEEE/ACM Trans. Network., vol. 4, no. 4, pp. 544-557, August 199. [] J.P. Jue and G. Xiao, Analysis of for Connection Manageent Schees in Optical Networks, Proc. IEEE Globeco 01, San Antonio, TX, vol. 3, pp. 154-1550, Noveber 2001. [7] K. Lu, G. Xiao, and I. Chlatac, Blocking Analysis of Dynaic Lightpath Establishent in Wavelength-Routed Networks, Proc. IEEE ICC 02, New York, NY, vol. 5, pp. 29-291, April 2002.