AEEC-Adaptive and Energy Efficient Clustering Algorithm for Content Based Wireless Sensor Networks
Otgonchimeg Buyanjargal, Youngmi Kwon · 2009
Wireless sensor network (WSN) has increasingly been used for many applications such as building distributed systems, military applications, remote environmental monitoring and target tracking among others. This has been enabled by the availability, particularly in recent years, of sensors that are smaller, cheaper and intelligent. However, sensor nodes operate on limited battery power, energy usage is a very important concern in a WSN. There has been significant research focus that revolves around harvesting and minimizing energy. In this paper, we propose a modified algorithm of Low Energy Adaptive Clustering Hierarchy (LEACH) protocol for Content based WSNs. Our modified protocol called AEEC (Adaptive and Energy Efficient Clustering) algorithm is aimed at prolonging the lifetime of a sensor network by balancing energy usage of the nodes in content based WSNs. AEEC makes the nodes with more residual energy have more chances to be selected as cluster head. Hence, we avoided single node failure due to maximize connectivity of network. We compared the performance of our AEEC algorithm with the LEACH protocol using simulations.