Multicluster ALLIANCES: A hight throughput and energy efficient approach for wireless sensor networks

L. Dong, A. Elancheziyan, J. C. De Oliveira, A. P. Petropulu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Scopus citations

Abstract

ALLIANCES is a new cooperative random access protocol which was proposed for resolving collisions in wireless networks. It can achieve high throughput and enables efficient use of energy with minimal scheduling overhead. The initial ALLIANCES approach was designed based on a small-scale network with fixed infrastructure, i.e., there is a base station (BS) that takes care of synchronization issues, declares each collision, and coordinates retransmissions. In this paper we propose a multicluster extension of ALLIANCES that enables its application to a large-scale wireless sensor network (WSN). The network is divided into groups of nodes called clusters, and each cluster is headed by the cluster head (CH). Collision resolutions and transmissions of CHs in different clusters are separable. Nodes in a cluster communicate only with the CH, who in turn forwards the information to a sink node. Collisions within a cluster are resolved as in ALLIANCES by the CH, which acts like a BS. Our simulation results shows that, with a proper clustering algorithm, the proposed scheme can achieve better performance than ALOHA, TDMA and single cluster ALLIANCES.

Original languageAmerican English
Title of host publicationConference Record of the 40th Asilomar Conference on Signals, Systems and Computers, ACSSC '06
Pages300-304
Number of pages5
DOIs
StatePublished - 2006
Externally publishedYes
Event40th Asilomar Conference on Signals, Systems, and Computers, ACSSC '06 - Pacific Grove, CA, United States
Duration: Oct 29 2006Nov 1 2006

Publication series

NameConference Record - Asilomar Conference on Signals, Systems and Computers

Other

Other40th Asilomar Conference on Signals, Systems, and Computers, ACSSC '06
Country/TerritoryUnited States
CityPacific Grove, CA
Period10/29/0611/1/06

ASJC Scopus subject areas

  • Signal Processing
  • Computer Networks and Communications

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