Title | ||
---|---|---|
EETO: An Energy-Efficient Target-Oriented Clustering Protocol in Wireless Sensor Networks |
Abstract | ||
---|---|---|
A large number of sensors are usually deployed around some discrete targets in wireless sensor networks for target surveillance
purpose. In such networks, clustering is beneficial not only to network management and data aggregation, but also to the target
coverage issues. This paper builds a target coverage relation model for target surveillance networks. Based on this model,
we abstract the clustering as finding the minimum K-hop dominating set which is proved to be NP complete. Then, we propose
a distributed energy-efficient target-oriented clustering protocol (EETO). EETO partitions the network into multiple connected
sub-branches based on the corresponding target-oriented relation graph. Each sub-branch is a cluster, where the cluster members
are all the K-hop coverage neighbors of the cluster head. EETO groups the sensors which cover the same target set into one
cluster. Therefore, related data can be aggregated timely and completely at the cluster head. The message overhead of EETO
is only O(1), which is scalable. Detailed simulation results show that EETO reduces energy consumption, improves load balancing and
prolongs the coverage lifetime of the network.
|
Year | DOI | Venue |
---|---|---|
2007 | 10.1007/978-3-540-77115-9_3 | ICDCIT |
Keywords | Field | DocType |
data aggregation,relational model,energy efficient,load balance,dominating set,wireless sensor network,relational data | Dominating set,Efficient energy use,Load balancing (computing),Computer science,Computer network,Network management,Cluster analysis,Data aggregator,Wireless sensor network,Distributed computing,Scalability | Conference |
Volume | Issue | ISSN |
4882 LNCS | null | 0302-9743 |
ISBN | Citations | PageRank |
3-540-77112-3 | 0 | 0.34 |
References | Authors | |
12 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
weifang cheng | 1 | 141 | 5.79 |
Xiangke Liao | 2 | 622 | 74.79 |
Changxiang Shen | 3 | 127 | 14.57 |
Dezun Dong | 4 | 178 | 31.90 |