Abstract
Energy efficiency is one of the most important issues for WSNs, because the battery of each wireless sensor node cannot be recharged or replaced. Therefore, all batteries have to be well managed, in order to provide a long network lifetime, as well as to reduce energy consumption for WSNs, particularly in clustering and routing. In this paper, we propose an energy-efficient self-organized clustering model with splitting and merging (EECSM), which performs clustering and then splits and merges clusters for energy-efficient cluster-based routing. EECSM uses information of the energy state of sensor nodes, in order to reduce energy consumption and maintain load balance. We show the validity of splitting and merging of clusters and then compare the performance of the proposed EECSM with that of a well-known cluster-based self-organization routing protocol for WSNs. The results of our experiment show good performance of EECSM, in terms of network lifetime, residual energies, scalability, and robustness.
Highlights
A sensor node of a wireless sensor network (WSN) senses the environment, and the information obtained from the environment is converted into data packets and transmitted to the base station (BS), which is the external final processing node for users [1]
Each wireless sensor node should consist of several cheap devices, which are constrained in terms of the processing capability and storage capacity
The results show that the splitting and merging of clusters happen frequently, in order to maintain the suitable number of clusters of EECSM, and this can seriously affect the network lifetime
Summary
A sensor node of a wireless sensor network (WSN) senses the environment, and the information obtained from the environment is converted into data packets and transmitted to the base station (BS), which is the external final processing node for users [1]. For the energy-efficient transmission of information obtained by sensor nodes, many routing protocols have been developed. Wireless sensor nodes have limited capacities, International Journal of Distributed Sensor Networks the self-organization method can perform adequate clustering and routing, by using only localized neighbor information and simple rules. When the size of clusters is too small, the number of clusters is increased, engendering an increase in the number of CHs, which consume much more energy when compared with CMs. In this paper, we propose an energy-efficient self-organized clustering with splitting and merging (EECSM) model for WSN. In order to increase energy efficiency, EECSM performs clustering, by considering the energy state information and by deciding on the split or merge clusters. The last section presents the conclusions of this study and proposes future research directions
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