An optimized energy efficient framework for secure data transmission in wireless sensor networks

Abstract

This dissertation presents an optimized energy efficient framework for secure data transmission in Wireless Sensor Networks (WSNs). This thesis addresses four major issues in WSNs namely (i) Energy efficient cluster head selection and cluster formation (ii) Data aggregation in cluster heads and energy efficient routing (iii) Reducing data transmission delay and network lifetime management in large scale WSNs (iv) Ensuring confidentiality and integrity for secure data transmission in WSNs. Hence, this thesis focuses on the four major contributions for addressing the above issues. The primary focus of this thesis is an energy efficient cluster formation on randomly deployed sensor nodes. Hence, a novel semigraph based connected edge domination algorithm is introduced for cluster formation through energy efficient virtual backbone construction. It creates virtual backbone in smaller size even with random distribution of sensor nodes by considering maximum edge degree nodes. It increases the availability of routes with reduced time and message complexity and has best performance ratio. Then Energy efficient optimized routing is employed on the constructed virtual backbone. Data aggregated by virtual backbone nodes which are acting as cluster heads. A nature inspired meta-heuristic krill herd optimization technique is used to acquire the pre-eminence path for routing. The path trust value for each path is calculated by considering transmission delay as the factor. Finally, it identifies the optimized path for energy efficient routing. It predominantly saves transmission time, residual energy and computational time. To address the problems of large-scale WSNs, the next contribution of this research work is to optimize mobile sink travelling path. It reduces data transmission delay hence increases network lifetime in large scale WSNs. Mobile sinks are extensively used in large scale WSNs for data collection and data transmission. Network lifetime can be extended and transmission delay can be reduced if it travels in an optimized path. Hence, Travelling Salesman Problem based Krill Herd optimization (KH-TSP) technique is introduced for mobile sink path optimization. It shortens the tour length travelled even with increased number of sensor nodes hence reduces transmission delay and increases network lifetime. The last contribution of this research work presents a framework for secure data transmission in WSNs. An Elliptic Curve Cryptography (ECC) based additive homomorphic encryption is used for ensuring confidentiality and integrity. Homomorphic encryption is such kind which permits convoluted calculations on the cipher text without compromising the security. And EC-Elgamal Signature algorithm supports for authenticity. By supporting end-to-end encryption proposed work provides security with reduced newline