Penetration Testing Framework for Energy Efficient Clustering Techniques in Wireless Sensor Networks

Penetration Testing Framework for Energy Efficient Clustering Techniques in Wireless Sensor Networks

연구 분야: Strategies

학회: International Conference on Emerging Technologies in Computer Engineering

Limited node energy has been always remained key challenge for the designers of clustering techniques in Wireless Sensor Networks (WSNs). From homogeneous to heterogeneous WSNs, there is no best fit clustering technique; therefore plenty of different techniques have been proposed by researchers from time to time. This paper aims to develop a generalized deterministic framework, Penetration Testing Framework (PTF), for researchers to validate their proposed techniques on a common platform giving best fit techniques for homogeneous as well as heterogeneous WSNs. The PTF consists of a set of network scenarios having different network parameters and performance parameters mixes. Some of the most relevant as well as popular clustering techniques designed for homogeneous and/or heterogeneous WSNs have been tested under PTF to validate its applicability and generality. A rigorous in-depth analysis has been made through development of different network scenarios and performance parameters mixes. The results attained are quite interesting, having useful directions for the designers of clustering techniques for modern WSNs.