Lecsom: a Low-Energy Routing Algorithm based on SOM Clustering for Static and Mobile Wireless Sensor Networks
Résumé
This paper addresses the energy-aware routing problem for both static and mobile wireless sensor networks. In this kind of network, the tradeoff between energy saving and the number of packets received at the base station is a major concern. We propose LECSOM, an low-energy clustering routing algorithm based on topological self-organizing maps learning techniques. We follow a twofold methodology. First, considering static sensor nodes, LECSOM have been simulated and compared, on the same data set, with other two approaches considered in scientific literature. Second, in a mobile scenario, we apply LECSOM with different clusterhead selection criteria to evaluate its reliability and the impact of these criteria. Simulation results show improvements in overall energy saving - the network lifetime grows up to 40 times longer. The network coverage is insured during 90% of the total time for static sensors nodes and 97% for the mobile ones. Moreover, the number of packets received at the base station is increased by 50%.