Abstrait

Enhanced Detection of Packet Droppers and Modifiers in Wireless Sensor Networks

Karthikeyan Ramesh , Deepa Rani , Jaya Susan Edith

Wireless Sensor Network (WSN) are gaining importance recent years due to its impact on cost, ability to cope up with node and communication failures, mobility, capability to withstand harsh environmental condition, monitoring purpose and ease of use. Despite Sensor nodes large collection of benefits there are few constrains such as security, Quality of Service and resource problems which act as hurdles in implementing sensor network application in real world environment. Security is considered to be a critical parameter in sensor network due to the fact that they are mostly deployed in an environment where human interaction is less. Since sensed data hold vital information integrity should be provided. An opponent or intruder is one who may perform various attacks on packets in order to make a node compromise and thereby cut shorting the communication to takes place. Attacks that have been concentrated here are packet dropping and modification. Sensor applications are time critical and if compromised nodes are not detected, large quantities of irrelevant data can be injected into the network which in turn will have a greater impact on computational cost and storage overhead. In this proposed technique energy consumption and delay aspects are considered and experimented with Enhanced Node Categorization and Heuristic Ranking (ENCHR) algorithm. ENCHR is used to identify compromised nodes and further a Secure Routing and Encryption techniques (SRE) are provided. This proposed scheme overcomes security and energy constrains, thereby providing a reliable communication to take place.