An Approach to Detect Intruder in Energy-Aware Routing for Wireless Mesh Networks

Wireless mesh networks (WMN) possess characteristics such as self-healing, self-configuring and self-discovery. Due to this nature WMN has emerged as the most widely used popular network. Since these devices are operated using battery resources, several works have been carried out for minimizing energy consumption during routing process, thereby increasing network lifetime. WMNs are more vulnerable for attackers due to its wide usage. Many works can be found to detect the intruder during routing without considering energy as a metric. There exist possibilities of intruder to attack the battery resource thereby reducing network efficiency in energy-aware routing. Hence in this work we propose a novel approach to detect an intruder by self-monitoring mechanism of node considering metrics such as packet size, data rate, remaining energy and draining rate of a energy resources of a node. The proposed model consists of three modules, namely self-intrusion detector, monitor and evaluator. It detects and helps in making decisions to participate in the network transmission. The working of the model is analyzed and shows that the proposed model detects intruder effectively, thereby resulting in increase of WMN efficiency.