Abstract
Wireless Sensor Networks (WSNs) present a new generation of real-time embedded systems with limited computation, energy and memory resources that are being used in a wide variety of applications where traditional networking infrastructure is practically infeasible. Appropriate cluster-head node election can drastically reduce the energy consumption and enhance the lifetime of the network. In this paper, a fuzzy logic approach to cluster-head election is proposed based on three descriptors - energy, concentration and centrality. Simulation shows that depending upon network configuration, a substantial increase in network lifetime can be accomplished as compared to probabilistically selecting the nodes as cluster-heads using only local information.
Original language | English (US) |
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Title of host publication | Proceedings of the 3rd Annual Communication Networks and Services Research Conference |
Publisher | IEEE |
Pages | 255-260 |
Number of pages | 6 |
ISBN (Print) | 0769523331, 9780769523330 |
DOIs | |
State | Published - 2005 |
Externally published | Yes |
Event | 3rd Annual Communication Networks and Services Research Conference, 2005 - Halifa, NS, Canada Duration: May 16 2005 → May 18 2005 |
Conference
Conference | 3rd Annual Communication Networks and Services Research Conference, 2005 |
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Country/Territory | Canada |
City | Halifa, NS |
Period | 5/16/05 → 5/18/05 |
Keywords
- Cluster-head
- Fuzzy Logic
- Wireless Sensor Networks
ASJC Scopus subject areas
- Engineering(all)