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Content Provider | IEEE Xplore Digital Library |
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Author | Xiaoyan Cui Zhao Liu |
Copyright Year | 2009 |
Description | Author affiliation: School of Automation, Beijing University of Posts and Telecommunications, China (Xiaoyan Cui; Zhao Liu) |
Abstract | Wireless Sensor Networks together hundreds or thousands of sensor nodes to accurately monitor a remote environment. Considering severe resources constraints, it requires robust wireless communication protocols that are energy efficient and can provide longer lifetime, especially for routing protocol. In this paper, a balanced-clustering, energy-efficient hierarchical routing protocol is proposed, called BCEE, which operates in two phases. During Phase 1, the balanced cluster formation is achieved by applying k-means clustering strategy, called KMDC algorithm, which does not require exact position of each node but use RSSI instead. Then, ant colony optimization algorithm is used in Phase 2 to establish the route with optimal or sub-optimal power consumption between cluster heads and sink node. Simulation results show that our BCEE protocol can achieve better load-balance, offer significant reductions of energy consumption and prolong network lifetime hugely than LEACH. |
Starting Page | 26 |
Ending Page | 30 |
File Size | 100045 |
Page Count | 5 |
File Format | |
ISBN | 9781424448982 |
DOI | 10.1109/ICNIDC.2009.5360781 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2009-11-06 |
Publisher Place | China |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | K-means Energy consumption Ant colony optimization Wireless sensor networks (WSN) Wireless application protocol Routing protocol Wireless communication Wireless sensor networks Network lifetime Clustering algorithms Energy efficiency Routing protocols Robustness Remote monitoring |
Content Type | Text |
Resource Type | Article |
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