Abstract

A hierarchical cross-layer design approach is proposed to increase energy efficiency in ad hoc networks through joint adaptation of nodes' transmitting powers and route selection. The design maintains the advantages of the classic OSI model, while accounting for the cross-coupling between layers, through information sharing. The proposed joint power control and routing algorithm is shown to increase significantly the overall energy efficiency of the network, at the expense of a moderate increase in complexity. Performance enhancement of the joint design using multiuser detection is also investigated, and it is shown that the use of multiuser detection can increase the capacity of the ad hoc network significantly for a given level of energy consumption.

Highlights

  • A mobile ad hoc network consists of a group of mobile nodes that spontaneously form temporary networks without the aid of a fixed infrastructure or centralized management

  • The communication routes are determined by the routing protocol, which finds the best possible routes according to some specified cost criterion

  • In general, many ad hoc networks will consist of small terminals with limited battery lifetime, routing protocols using energy-related cost criteria have recently been investigated in the literature (e.g., [1,2,3,4])

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Summary

INTRODUCTION

A mobile ad hoc network consists of a group of mobile nodes that spontaneously form temporary networks without the aid of a fixed infrastructure or centralized management. As a tradeoff between the pros and cons of cross-layer design, we propose a hierarchical cross-layer design framework, in which the adaptation protocols at different layers of the protocol stack are independently designed (e.g., power control at the physical layer, and routing at the network layer), while sharing coupling information across layers. Based on this framework, we propose and analyze a joint power control and routing algorithm for code-division multiple-access (CDMA) ad hoc networks.

HIERARCHICAL CROSS-LAYER DESIGN FRAMEWORK
Network model
Distributed power control
Joint power control and routing
Simulations
Uniform energy consumption
Findings
CONCLUSIONS
Full Text
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