Application of Fruit Fly Optimization Algorithm for Single-Path Routing in Wireless Sensor Network for Node Capture Attack

Abstract

Wireless sensor network (WSN) (Kaur and Kang in Int J Comput Sci Eng IJCSE 6(4):157–162, 2016, [1]) is susceptible to different types of physical attacks. It is collection of tiny-sized sensor nodes. The reason behind these attacks is its limited resource capacity. It is screened to external atmosphere for circulating data. Node capture attack is supposed to be severe attacks in WSN (Butani et al. in Int J Comput Appl IJCA 95(3):32–39, 2014, [2]). In this type, the node is substantially captured by an assailant and eradicates the secret information from the node’s storage. This paper proposes a fruit fly optimization algorithm (FFOA) (Wang et al. in Mob Inf Syst 1–14, 2017, [3]). It is based on multiple objectives (Lin and Wu in J Supercomput 1–19, 2013, [4]) node capture attack algorithm. Proposed algorithm serves these objectives: maximum node contribution (Lin and Wu in J Supercomput 1–19, 2013, [4]), maximum key contribution (Lin and Wu in J Supercomput 1–19, 2013, [4]), and least resource expenses (Lin and Wu in J Supercomput 1–19, 2013, [4]). The simulation result illustrates that FFOA obtains a lower energy cost as compared with matrix algorithm (MA) (Lin et al. in J Supercomput 71:3181–3212, 2015, [5]) and other node capture attack algorithms when it is calculated for single-path routing algorithm. There are two variations in which this could have served. First is single path and the other is multi-path. But, in this paper, it is only the first case that has been discussed and calculated.