Secure Routing using ISMO for Wireless Sensor Networks

International Journal of Computer Science and Engineering

© 2021 by SSRG - IJCSE Journal

Volume 8 Issue 12

Year of Publication : 2021

Authors : M.Supriya, Dr.T.Adilakshmi

10.14445/23488387/IJCSE-V8I12P103

How to Cite?

M.Supriya, Dr.T.Adilakshmi, "Secure Routing using ISMO for Wireless Sensor Networks," SSRG International Journal of Computer Science and Engineering , vol. 8,  no. 12, pp. 14-20, 2021. Crossref, https://doi.org/10.14445/23488387/IJCSE-V8I12P103

Abstract:

The Wireless Sensor Network (WSN) is a type of wireless ad hoc network that uses densely packed small sensor nodes to monitor environmental changes. WSN is made up of battery powered, low cost sensor nodes with limited communication and computing capabilities. The security and restricted energy of the sensors, on the other hand, are identified as key challenges that affect the WSN's performance. As a result, secure cluster-based routing must be developed in order to achieve secure data transmission while minimizing node energy consumption. The clustering and secure Cluster Head (CH) selection are achieved in this paper using the K-Means algorithm, and then secure network routing is done using the SMO, whose fitness function takes into account four different values: trust, residual,, energy, distance, and node degree. As a result, ISMO-WSN based secure cluster-based routing is used to avoid blackhole attacks during data transfer by reducing packet loss, Packet Delivery Ratio (PDR), Packet Loss Ratio (PLR), routing overhead, and the average energy consumption is used to evaluate the proposed ISMO-WSN.In addition, the ISMO-WSN is evaluated using an existing method called Secure Routing Protocol based on Multi objective Ant colony optimization (SRPMA). The ISMO-WSN approach has a Packet Loss Ratio (PLR) of 3.57 % for 10 blackhole nodes; the routing overhead of this ISMO method is 0.067J for 10 blackhole attacks. An average energy utilization of the ISMO-WSN method is 1.38 J for 10 blackhole nodes.

Keywords:

K-means clustering, ISMO-WSN (Improved spider monkey optimization-Wireless Sensor Network), trust, Blackhole attacks, packet delivery ratio, packet Loss ratio, Spider Monkey Optimization(SMO), SRPMA.

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