Secure Cluster based Routing Using Improved Moth Flame Optimization for Wireless Sensor Networks

Abstract

Wireless Sensor Network (WSN) is developed as a promising technology for a wide range of applications due to its low installation cost. However, the nodes in the WSN are susceptible to different security threats, because these nodes are located in hostile or harsh environments. The important goal of this paper is to obtain secure data transmission while minimizing energy consumption. In this paper, an Improved Moth Flame Optimization (IMFO) is used for selecting the optimal Cluster Head (CH) from the network. Moreover, the secure routing path is generated using the IMFO where the fitness function considers residual energy, distance, trust and node degree. Therefore, the Secure Clustering and Routing using IMFO (SCRIMFO) provides the resistance against the Distributed Denial-of-Service (DDoS) attack whereas the energy consumption is minimized by identifying the shortest path. The proposed SCRIMFO method is analysed in terms of Average Energy Consumption (AEC), Packet Loss Ratio (PLR), Packet Delivery Ratio (PDR) and routing load. Here, the SCRIMFO method is compared with the Secure Routing Protocol based on Multi-objective Ant-colony-optimization (SRPMA), Ant Colony Conveyance Algorithm (ACCA) and Energy-aware Trust and Opportunity-based Routing (ETOR) approaches. The PDR of the SCRIMFO is 94.64 % for 2 DDoS attacks that is high when compared to the SRPMA, ACCA and ETOR.

Secure Cluster based Routing Using Multiobjective Trust Centric Reptile Search Algorithm for WSN

“…The performance of the M-TCRSA method is analyzed using packet delivery ratio (PDR), throughput, end to end delay (EED), jitter and life expectancy. The existing methods such as TAGA [17], TCELR [20], SCRIMFO [21] and CCCSA [22] are used to evaluate the performance of M-TCRSA method where these existing methods are developed for the same specifications mentioned in Table 1.…”

“…From Fig. 3, it is concluded that the M-TCRSA achieves higher throughput than the TAGA [17], TCELR [20], SCRIMFO [21] and CCCSA [22]. The higher throughput is achieved in M-TCRSA because of avoiding malicious attacks and node failure using trust and energy fitness metrics.…”

“…Ramachandra and Surekha [21] presented the secure clustering and routing using IMFO (SCRIMFO) for WSN. Shivakumaraswamy and Mala [22] developed cost centric cuckoo search algorithm (CCCSA) for the WSN.…”

“…2 shows the PDR comparison of M-TCRSA with TAGA [17], TCELR [20], SCRIMFO [21] and CCCSA [22]. This PDR analysis shows that the M-TCRSA achieves higher PDR than the TAGA [17], TCELR [20], SCRIMFO [21] and CCCSA [22]. For example, the existing TAGA [17] and TCELR [20] methods mainly considered trust as the primary fitness metric, but it failed to concentrate on the energy and distance which leads to packet drop over the network.…”

“…Throughput is defined as the number of data packets successfully received at the destination (BS), since the throughput is analyzed as bits per second. The comparison of throughput for TAGA [17], TCELR [20], SCRIMFO [21] CCCSA [22] and M-TCRSA is shown in Fig. 3.…”