Detection and Isolation of Selfish Nodes in MANET Using Collaborative Contact-Based Watchdog with Chimp-AODV

Abstract

Mobile Ad-hoc Network (MANET) is one of the most important self-configuring and independent wireless network. Numerous intermediate nodes are used among MANET to interchange the information without the requirement of any centralized infrastructure. But some nodes act selfishly and utilize the resources only for their own purposes and do not share with the neighbors. This selfish nodes might delay or drop the packet and do not perform routing. Though watchdog is a well-known selfish node detection technique, it causes false negatives and false positives that can affect the performance in terms of precision and speed. To eliminate the drawbacks of existing approaches in selfish node detection, this paper integrates both Ad-hoc On-Demand Distance Vector (AODV) protocol incorporated with chimp optimization algorithm and Collaborative Contact based Watchdog to propose a novel technique called Chimp-CoCoWa-AODV in order to improve the performance of MANET. The main role of chimp optimization algorithm in AODV is to undergo optimal route selection process. The performance of the proposed Chimp-CoCoWa-AODV approach is compared with existing approaches in terms of average routing load, Average Packet Delivery Fraction (PDF), Average End-to-end Delay (EED), Average Throughput, Total packet drop in the application layer, and maliciously dropped packet in the routing layer. The simulation results shows that the proposed approach is effective with 82% PDF and 7.4 ms EED at 50 nodes in detection and isolation of selfish nodes in MANET even in the presence of malicious node.

An artificial immune system‐based algorithm for selfish node detection in Mobile Ad Hoc Networks (MANETs)

“…Table 3 presents performance metrics for different routing protocols, including Reputation‐based scheme, 29 AISBA, 30 Chimp‐CoCoWa‐AODV, 31 BTRP, 32 ANFIS‐EESC, 33 and RHCC‐DAODV (proposed). PDR is the percentage of packets sent that successfully reached their intended destinations.…”

“…At the end of the simulation, the hop count for the proposed RHCC-DAODV protocol decreased by nearly 94 depending on the varying number of selfish nodes. Table 3 presents performance metrics for different routing protocols, including Reputation-based scheme, 29 AISBA, 30 Chimp-CoCoWa-AODV, 31 BTRP, 32 ANFIS-EESC, 33 and RHCC-DAODV (proposed). PDR is the percentage of packets sent that successfully reached their intended destinations.…”

“…Sherif and Salini 31 suggested an innovative method named Chimp‐CoCoWa‐AODV, which integrates the AODV protocol with the Chimp Optimization Algorithm (COA) and Collaborative Contact‐based Watchdog to enhance the performance of MANET networks. In AODV protocol, the COA serves the primary function of optimal route selection.…”