Design and testbed implementation of an energy efficient clustering protocol for WSN

TLDR: This work uses the threshold level of mean link quality of sensor node for sub-area division for locating the nodes position in this paper and shows that the modified EEEAC (mEEEAC) is the more energy efficient enhancing network lifetime.

Abstract: The relevancy of wireless sensor networks (WSNs) has developed enormously in the last decade. Sensors nodes are energy constraints devices. For the sustainability of sensor networks energy optimization is the prime challenge for researchers which can be achieved by efficient design of clustering routing protocols. LEACH is one of the most renowned hierarchical routing protocols which prepare the fields for many other routing protocols for WSN. An enhanced version of LEACH is the EEEAC protocol which is an adaptive clustering based on residual energy of each node and generated uniform cluster heads over the network. Unlike EEEAC which considers unique identification of subarea code, for locating the nodes position in this paper we use the threshold level of mean link quality of sensor node for sub-area division. This process reduces the cost complexity and size of sensor nodes and non-functioning of GPS within indoor environment for area division. The significant contribution of this work lies in the real test bed implementation of both LEACH and our proposed model under SENSEnuts. Network stability and battery consumption are evaluated practically which shows that the modified EEEAC (mEEEAC) is the more energy efficient enhancing network lifetime.