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Combinatorial Optimization in Communication Networks

Maggie Xiaoyan Cheng ; Yingshu Li ; Ding-Zhu Du (eds.)

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Institución detectada Año de publicación Navegá Descargá Solicitá
No detectada 2006 SpringerLink

Información

Tipo de recurso:

libros

ISBN impreso

978-0-387-29025-6

ISBN electrónico

978-0-387-29026-3

Editor responsable

Springer Nature

País de edición

Reino Unido

Fecha de publicación

Información sobre derechos de publicación

© Springer Science+Business Media, Inc. 2006

Tabla de contenidos

Introduction

Maggie Xiaoyan Cheng; Yingshu Li; Ding-Zhu Du (eds.)

In this chapter, the time-independent Green’s functions are defined, their main properties are presented, methods for their calculation are briefly discussed, and their use in problems of physical interest is summarized.

- Introduction | Pp. 1-4

Topology Control in Wireless Multihop Networks

Ning Li; Jennifer C. Hou

Multipath routing has been a promising technique in MANETs and WSNs. It has been shown through both theoretical analysis and simulation results that multipath routing provides many performance benefits, including improved fault tolerance, security, and reliability, improved routing efficiency and reduced routing overhead, more balanced traffic load and energy consumption, reduced end-to-end latency, and aggregated network bandwidth, etc. Significant research efforts have been made and are continuously being made in developing multipath routing protocols and multipath packet forwarding techniques in order to achieve the above-mentioned performance gains effectively and efficiently. Nevertheless, many issues that are directly related to the application of multipath routing remain untouched, such as the integration of the multipath routing into the current single-path routing paradigm, the synchronization of the packets among the multiple paths, and the interfaces of multipath routing protocols to other layers of protocol in the network protocol stack, etc.

Due to space limitations, we are only able to introduce the basic concept of multipath routing, highlight the fundamental techniques used to find the multiple paths, and outline the essential idea of what and why it can help in performance. For detailed algorithms/protocols as well as performance evaluations, interested readers are referred to respective publications.

Part I - Combinatorial Optimization in Wireless Networks | Pp. 7-38

Combinatorial Evolutionary Methods in Wireless Mobile Computing

Geetali Vidyarthi; Alioune Ngom; Ivan Stojmenović

Ad hoc networks are an area of telecommunications that has grown in popularity due to its wide applicability. It also presents some interesting and difficult optimization problems. In this chapter we presented some of the optimization issues related to ad hoc networks, as well as techniques employed in their solution. This is an active area of research, and certainly will see many developments in the near future in terms of improved formulations and algorithms.

Part I - Combinatorial Optimization in Wireless Networks | Pp. 39-85

Optimal Server Allocation in Wireless Networks: The Use of Index Policies

Navid Ehsan; Mingyan Liu

This chapter has addressed the challenges of large-scale on-demand data broadcasts introduced by broadcast media such as satellite networks, cable networks, wireless LANs, and cellular networks. In such environments, the scheduling problem is different from that in a point-to-point communication environment or a push-based broadcast environment. Moreover, when variable-sized heterogeneous requests are considered, most of the previous scheduling algorithms fail to perform well. As stretch is widely adopted as a performance metric for variable-size data requests, we proposed a broadcast scheduling algorithm to optimize the system performance in terms of stretch. One nice property of the proposed algorithm is that it is extremely simple and the computation overhead is very low. Analytical results described the intrinsic behavior of the algorithm. Simulation results demonstrated that our algorithm significantly outperforms existing scheduling algorithms under various scenarios.

Part I - Combinatorial Optimization in Wireless Networks | Pp. 87-115

Performance Optimization Using Multipath Routing in Mobile Ad Hoc and Wireless Sensor Networks

Wenjing Lou; Wei Liu; Yanchao Zhang

Multipath routing has been a promising technique in MANETs and WSNs. It has been shown through both theoretical analysis and simulation results that multipath routing provides many performance benefits, including improved fault tolerance, security, and reliability, improved routing efficiency and reduced routing overhead, more balanced traffic load and energy consumption, reduced end-to-end latency, and aggregated network bandwidth, etc. Significant research efforts have been made and are continuously being made in developing multipath routing protocols and multipath packet forwarding techniques in order to achieve the above-mentioned performance gains effectively and efficiently. Nevertheless, many issues that are directly related to the application of multipath routing remain untouched, such as the integration of the multipath routing into the current single-path routing paradigm, the synchronization of the packets among the multiple paths, and the interfaces of multipath routing protocols to other layers of protocol in the network protocol stack, etc.

Due to space limitations, we are only able to introduce the basic concept of multipath routing, highlight the fundamental techniques used to find the multiple paths, and outline the essential idea of what and why it can help in performance. For detailed algorithms/protocols as well as performance evaluations, interested readers are referred to respective publications.

Part I - Combinatorial Optimization in Wireless Networks | Pp. 117-146

Ad Hoc Networks: Optimization Problems and Solution Methods

Carlos A. S. Oliveira; Panos M. Pardalos

Ad hoc networks are an area of telecommunications that has grown in popularity due to its wide applicability. It also presents some interesting and difficult optimization problems. In this chapter we presented some of the optimization issues related to ad hoc networks, as well as techniques employed in their solution. This is an active area of research, and certainly will see many developments in the near future in terms of improved formulations and algorithms.

Part I - Combinatorial Optimization in Wireless Networks | Pp. 147-170

Stochastic Programming in Allocation Policies for Heterogeneous Wireless Networks

Abd-Elhamid M. Taha; Hossam S. Hassanein; Hussein T. Mouftah

This chapter has addressed the challenges of large-scale on-demand data broadcasts introduced by broadcast media such as satellite networks, cable networks, wireless LANs, and cellular networks. In such environments, the scheduling problem is different from that in a point-to-point communication environment or a push-based broadcast environment. Moreover, when variable-sized heterogeneous requests are considered, most of the previous scheduling algorithms fail to perform well. As stretch is widely adopted as a performance metric for variable-size data requests, we proposed a broadcast scheduling algorithm to optimize the system performance in terms of stretch. One nice property of the proposed algorithm is that it is extremely simple and the computation overhead is very low. Analytical results described the intrinsic behavior of the algorithm. Simulation results demonstrated that our algorithm significantly outperforms existing scheduling algorithms under various scenarios.

Part I - Combinatorial Optimization in Wireless Networks | Pp. 171-188

Selecting Working Sensors in Wireless Sensor Networks

Haining Chen; Hongyi Wu

Ad hoc networks are an area of telecommunications that has grown in popularity due to its wide applicability. It also presents some interesting and difficult optimization problems. In this chapter we presented some of the optimization issues related to ad hoc networks, as well as techniques employed in their solution. This is an active area of research, and certainly will see many developments in the near future in terms of improved formulations and algorithms.

Part I - Combinatorial Optimization in Wireless Networks | Pp. 189-206

Quality of Service Provisioning for Adaptive Multimedia in Mobile/Wireless Networks

Yang Xiao

In this chapter, we classify services into three categories: Bandwidth Guaranteed (BG) service, Bandwidth Not Guaranteed (BNG) service and Best Effort (BE) service. For each of the above three categories, traffic descriptors and QoS parameters are defined and specified. We abstract the three categories into a general traffic model. Under such a general abstract traffic model, an optimal CAC scheme that guarantees the QoS parameters’ requirements and traffic descriptors, and maximizes the revenue, is presented analytically. The proposed schemes allow us to make decisions on call admission control, as well as bandwidth reallocation at the same time using the semi-Markov decision process approach. The Interior Point Method in linear programming is used to solve the optimal decision problem. With reasonable size of and , the proposed approach will fit well in the real system.

Part I - Combinatorial Optimization in Wireless Networks | Pp. 207-231

MAC-Throughput Analysis of CDMA Wireless Networks Based on a Novel Collision Model

Yunnan Wu; Xiang-Gen Xia; Qian Zhang; Wenwu Zhu; Ya-Qin Zhang

In this chapter, we introduced a collision model of a DS-CDMA network using random spreading sequences, where a collision is said to occur if there is no proper power control scheme for achieving a desired SINR at receivers. We derived and simulated the collision probabilities, assuming matched filter receivers.

A queueing analysis with the saturated slotted ALOHA model was conducted to study the MAC-layer throughput performance for systems equipped with enhanced packet reception capabilities, an example being the proposed collision model. Under a general physical reception model, the stability region for saturated slotted ALOHA for two transmitter—receiver pairs is explicitly characterized. Then we discussed throughput under a symmetric multipacket reception model, as a special case of the general reception model, and under the proposed collision model, as a special case of the symmetric multipacket reception model.

Part I - Combinatorial Optimization in Wireless Networks | Pp. 233-257