Wireless Communications: Principles and Practice
Wireless Communications: Principles and Practice
Introduction to Algorithms
TEEN: ARouting Protocol for Enhanced Efficiency in Wireless Sensor Networks
IPDPS '01 Proceedings of the 15th International Parallel & Distributed Processing Symposium
Load-Balancing Clusters in Wireless Ad Hoc Networks
ASSET '00 Proceedings of the 3rd IEEE Symposium on Application-Specific Systems and Software Engineering Technology (ASSET'00)
Energy-Efficient Communication Protocol for Wireless Microsensor Networks
HICSS '00 Proceedings of the 33rd Hawaii International Conference on System Sciences-Volume 8 - Volume 8
Application-specific protocol architectures for wireless networks
Application-specific protocol architectures for wireless networks
IEEE Communications Magazine
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Wireless sensor networks are widely deployed for a wide range of applications for gathering information about the environment, monitoring huge building etc. However, the limited energy of the sensor nodes requires efficient gathering of information so that the network lifetime is increased. In literature it is proved that this efficiency can be achieved by clustering the sensor nodes in the network. Previously we proposed a single hop genetic based clustering protocol (GCA) for sensor networks. However, multi-hop routing techniques are known to be a practical approach to solving the problem of routing in sensor networks. In this paper, we present a new robust clustering based multi-hop routing protocol for wireless sensor networks. The proposed genetic clustering algorithm (M-GCA) employs evolutionary techniques to form an efficient virtual backbone. This backbone is used to support routing messages to the base station. Simulation results show that the proposed multi-hop routing protocol outperforms GCA, a single-hop clustering protocol in several scenarios.