Selfish node detection IDSM based approach using individual master cluster node
Neenavath Veeraiah, Battula Tirumala Krishna · 2018 2nd International Conference on Inventive Systems and Control (ICISC) · 2018
Mobile Ad hoc Network (MANET) is an group of mobile nodes collection. It forms a nonpermanent network dynamically without using the existing network infrastructure or centralized administer. Due to short communication range between every other mobile node present in the ad-hoc network, network hopes places an vital role to deliver an packet from one node to another node in the wireless network. Every node present inside the network is responsible for forwarding packets to its neighboring nodes. Many resource constraints like CPU power, battery, bandwidth and some of the nodes may not participate in packet forwarding towardsits resource reduction. The selfish node behavior presenceleads to partition the network and makes an negative impact in the operation of the network. To overcome such circumstances selfish node detection is needed. There are lot of techniques to identify the selfish node where it took more computational resources and time-consuming process to identify selfishness of the node. In this paper, the intrusion detection system monitoring (IDSM) approach is used for selfish node detection for monitoring the entire network using the single node and the clustering is used to increase the efficiency and also reduces the network energy consumption which leads in the reliable quality service throughout the network.