Abstract
Wireless sensor network consisting of a large number of small sensors of low-power transceiver is effective for gathering data in a variety of environments. Since the network is built with low-cost sensor nodes of limited battery power, it is a challenging task to design an efficient routing scheme maximizing the network lifetime. In this paper, we propose a new clustering protocol reducing the energy taken for routing, and thus extending the network lifetime. The proposed scheme is based on a newly developed model of optimal number of clusters in the network with which the energy consumption can be minimized. It also includes a method of cluster-head rotation inside each cluster, which avoids the clustering operation during normal operation and evenly distributes the load among the nodes. The performance of the proposed scheme is compared with the clustering-based routing protocols, Low-Energy Adaptive Clustering Hierarchy (LEACH), LEACH-Centralized (LEACH-C), and Adaptive and Energy Efficient Clustering (AEEC) algorithm. Simulation results show that it significantly reduces energy consumption and improves network lifetime. It is thus expected to be effective for large-scale semantic sensor web.
Highlights
Low-cost and low-power wireless sensor nodes have been applied to various fields [1]
We propose an energy efficient clustering protocol which can reduce energy consumption and prolong the lifetime of Wireless sensor network (WSN)
As in (23), the total energy consumption of all the sensor nodes during the setup phase in a round can be obtained by multiplying (22), which expresses the amount of energy consumption in a single cluster, by the number of clusters, k: Esetup
Summary
Low-cost and low-power wireless sensor nodes have been applied to various fields [1]. The most common approach employed in the representative clustering schemes such as LEACH and AEEC is probabilistic clustering based on randomized cluster-head rotation for evenly distributing the International Journal of Distributed Sensor Networks energy consumption among nodes in each cluster [22, 23]. In these schemes cluster formation and cluster-head selection are done in the setup phase. The proposed scheme includes a method of cluster-head rotation in each cluster, with which energy consumption caused by unnecessary reclustering is avoided and the loads are evenly distributed among the nodes.
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