Please use this identifier to cite or link to this item: https://doi.org/10.1145/1267060.1267065
Title: Collaborative broadcasting and compression in cluster-based wireless sensor networks
Authors: Hoang, A.T.
Motani, M. 
Keywords: Broadcast communications
Clustering
Data compression
Data gathering
Lifetime optimization
Sensor networks
Spatial correlation
Issue Date: 1-Aug-2007
Source: Hoang, A.T., Motani, M. (2007-08-01). Collaborative broadcasting and compression in cluster-based wireless sensor networks. ACM Transactions on Sensor Networks 3 (3) : -. ScholarBank@NUS Repository. https://doi.org/10.1145/1267060.1267065
Abstract: Achieving energy efficiency to prolong the network lifetime is an important design criterion for wireless sensor networks. In this article, we propose a novel approach that exploits the broadcast nature of the wireless medium for energy conservation in spatially correlated wireless sensor networks. Since wireless transmission is inherently broadcast, when one sensor node transmits, other nodes in its coverage area can receive the transmitted data. When data collected by different sensors are correlated, each sensor can utilize the data it overhears from other sensors to compress its own data and conserve energy in its own transmissions. We apply this idea to a class of cluster-based wireless sensor networks in which each sensing node transmits collected data directly to its cluster head using time division multiple access (TDMA). We formulate the problem in which sensors in each cluster collaborate their transmitting, receiving, and compressing activities to optimize their lifetimes. We show that this lifetime optimization problem can be solved by a sequence of linear programming problems. We also propose a heuristic scheme which has low complexity and achieves near optimal performance. Important characteristics of wireless sensor networks such as node startup cost and packet loss due to transmission errors are also considered. Numerical results show that by exploiting the broadcast nature of the wireless medium, our control schemes achieve significant improvement in the sensors' lifetimes. © 2007 ACM.
Source Title: ACM Transactions on Sensor Networks
URI: http://scholarbank.nus.edu.sg/handle/10635/55317
ISSN: 15504859
DOI: 10.1145/1267060.1267065
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