Implementation of Congestion detection and avoidance of TARF in Wireless Sensor Networks

Wireless Sensor Networks are gaining popularity due to the fact that they offer low-cost solutions for a variety of application areas, Wireless Sensor Network consists of multiple low cost sensors, densely deployed to monitor a particular event. Each sensor is deployed in different location for different purpose. Because of the unbalanced conditions, results of a particular sensor or group of sensors might be manipulated. This might lead to inaccurate results. In order to avoid this, trust has been proposed as an efficient security mechanism for managing security at each node in the sensor network. In a Wireless Sensor Network in addition to security, congestion can also significantly reduce the performance of the network. Whenever an event is detected, the network load becomes very high as compared to inactive condition leading to congestion. In this paper we have implemented a trust aware, congestion detection and avoidance approach along with well-known network layer attacks such as black hole, sink hole, Sybil and the worm hole attacks. Our objective is to protect WSNs from such harmful attacks by using a trust based methodology. Evaluation result depends on the type of attack used.