Cross Layer Optimization Based on Rate Distribution in Multirate Wireless Sensor Network

Wei Wang,Honggang Wang,Hamid Sharif,Dongming Peng

doi:10.3844/jcssp.2007.368.375

Abstract

It is important to increase the Wireless Sensor Network (WSN) lifetime, due to its limited energy resource, while meeting the constraints of applications. Recent Advances for In-Network Processing (INP) motivate many WSN applications which are based on multi rate and distributed signal processing, and therefore require the support of rate-based routing as well as MAC and link layer de-signs to maximize the WSN lifetime. We propose a new scheme called

Highlights

Unlike the general-purpose Wireless Local-Area Network (WLAN) that is designed to support all types of applications, Wireless Sensor Network (WSN) operates under a set of unique resource constraints and mission-driven requirements[1]
Aggregation, Distributed Source Coding (DSC), Distributed Compression, and Distributed and Collaborative Signal Processing are some of the enabling technologies
Remark 2: For a given data-generating rate vector r ( r1, r2 ...rn ), ri ≥ 0, in source sensors sn, the rate distribution is optimal if and only if there exists a solution such that all generated data can be relayed to the sink by distributing ri constraints so that the network lifetime is maximized

Summary

INTRODUCTION

Unlike the general-purpose Wireless Local-Area Network (WLAN) that is designed to support all types of applications, Wireless Sensor Network (WSN) operates under a set of unique resource constraints and mission-driven requirements[1]. DSC reduces the number of transmitted bits but still obtains the full information from all sensor reading at the sink [7, 8] It utilizes the correlation of data collected at multiple sensors without mutual communication between these sensors, and sets the multiple coding rates at these different sensor nodes. DSC information bits are collected independently, separately, and at different data rates to reach the sink node for source decoding. It is desirable for efficient WSN designs to support such multi rate dataflow in network. In Equation (1), Ebit is the energy consumption, b is the constellation size, and symbol rate.

Rsmax Rs

Re sidual

Findings

Data Rate Modulation