Threshold Based Clone Avoidance in AODV for Wireless Sensor Network

Abstract

Wireless sensor network(WSN) is collection of sensor nodes and it is self configuring, dynamically changing, multi hop wireless network which forms a communication network via multi hop wireless network connection. Nodes in the network communicate with another node if it lies within the transmission range. Every node act as source and router in the network .Such sensor network is used in wide range of applications. In WSN security is very challenging and growing research field because of some kind of novel attacks i.e clone attack because of its dynamic nature. clone avoidance is one of the key problem in WSNs as clone avoidance in network is essential for security of sensor nodes ,data confidentiality, and for better performance of the network. The proposed approach uses the concept of threshold to avoid clone attack in the network, the key idea is to use sensor nodes crosses the maximum threshold do not consider in the path. The proposed approach (TBCA-AODV) is able to avoid clone nodes from the path and will increase the network performance. The simulation done in ns-2 and the proposed algorithm is compared with existing AODV and AODV with Clone attack and is performance better in case of throughput and packet delivery ratio of the network.