TY - GEN
T1 - A distributed power-efficient data gathering and aggregation protocol for wireless sensor networks
AU - Liu, Ming
AU - Cao, Jiannong
AU - Gong, Hai Gang
AU - Chen, Li Jun
AU - Li, Xie
PY - 2005/12/1
Y1 - 2005/12/1
N2 - In this paper, we propose a distributed power-efficient data gathering and aggregation algorithm (DPEG), in which a node, according to its residual energy and the strength of signal received from its neighboring nodes, independently makes its decision to compete for becoming a cluster head. In addition, assume that the inter-cluster communication data is, in a multi-hop manner, sent to the designated node, which then sends the data gathered by the whole network to the base station. DPEG also proposes a simple approach to solve the cluster coverage problem. With the increase in node density, this approach lets sensor network lifetime be linear in the number of nodes. Our experimental results have proved that DPEG algorithm, in the best case, lets sensor network lifetime be respectively increased by 1800% and 300% as compared with another two data gathering and aggregation protocols - LEACH and PEGASIS.
AB - In this paper, we propose a distributed power-efficient data gathering and aggregation algorithm (DPEG), in which a node, according to its residual energy and the strength of signal received from its neighboring nodes, independently makes its decision to compete for becoming a cluster head. In addition, assume that the inter-cluster communication data is, in a multi-hop manner, sent to the designated node, which then sends the data gathered by the whole network to the base station. DPEG also proposes a simple approach to solve the cluster coverage problem. With the increase in node density, this approach lets sensor network lifetime be linear in the number of nodes. Our experimental results have proved that DPEG algorithm, in the best case, lets sensor network lifetime be respectively increased by 1800% and 300% as compared with another two data gathering and aggregation protocols - LEACH and PEGASIS.
UR - http://www.scopus.com/inward/record.url?scp=33646712272&partnerID=8YFLogxK
M3 - Conference article published in proceeding or book
SN - 3540297693
SN - 9783540297697
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 743
EP - 756
BT - Parallel and Distributed Processing and Applications - Third International Symposium, ISPA 2005, Proceedings
T2 - 3rd International Symposium on Parallel and Distributed Processing and Applications, ISPA 2005
Y2 - 2 November 2005 through 5 November 2005
ER -