Fuzzy Logic based Clustering Algorithm to Improve DEEC Protocol in Wireless Sensor Networks
Siddhant Bagga, Nikita Chawla, Deepak Kumar Sharma, Deepika Kukreja · 2019 International Conference on Computing, Power and Communication Technologies (GUCON) · 2019
Networking systems composed of wireless sensors that have limited power are commonly referred to as Wireless Sensor Networks. The primary aim of deployment of these sensing devices is to gather data from their environment and physical surroundings. While doing so, by virtue of their small and lightweight nature, they optimize the amount of energy dissipated, thereby differentiating them considerably from other typical networks. To fulfil this aim of transmission of data, lot of algorithms have been developed for carrying out routing. These protocols aim to enhance the overall network stability and lifetime. Clustering Based routing, a subset of hierarchical routing protocols, which include algorithms like the LEACH, SEP and DEEC is one such popular approach. In this approach, there is a single head node whose responsibility is data collection, i.e. gathering data from its entire cluster and then further sending it, passed through different aggregation functions, to the base station. In this paper, a new approach for clustering of the sensors has been proposed. It is an improvement of DEEC protocol. Fuzzy logic has been applied for the selection of the most suitable nodes to become the cluster head. A few more constraints have been considered for a particular node to be eligible to become the cluster head. The proposed approach outperforms traditional routing algorithms like SEP, LEACH and DEEC when compared with respect to overall network lifetime, stability period, network throughput and average energy.