Energy-efficient intelligent hierarchical cluster-based routing for wireless sensor networks
LE3 .A278 2006
Master of Science
Wireless Sensor Networks are used for various applications such as habitat monitoring, automation, agriculture, and security. Since numerous sensors are usually deployed in remote and inaccessible places, their deployment and maintenance should be easy and scalable. This thesis proposes an energy-efficient hierarchical cluster-based routing that is an extension of the LEACH protocol, a self-organized cluster-based approach for continuous monitoring. In the proposed hierarchical cluster-based routing protocol, nodes self-organize into clusters and each cluster is managed by a set of associates called a head-set. The sensor nodes transmit data to their cluster heads, which then transmit the aggregated data to the base station. In addition to cluster associates, hierarchical cluster-based routing retains energy-efficient clusters for a longer duration. Moreover, the hierarchical cluster-based routing uses a Genetic Algorithm to generate energy-efficient hierarchical clusters. The simulation results show that the proposed cluster-based routing protocol is more energy efficient than the traditional cluster-based routing protocols and consequently a sensor network using this technique could remain functional for a longer period of time.
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