Calculating Trust and Aggregation of a node using Poisson Distribution in WSN

Designing an accurate and efficient trust model in WSN is nowadays aresearch challenge.Trust in wirelesssensor networks is an important issue and it solves theproblem of access control, privacy, secure routing scheme and reliable communication.The notion of trust can bedefined as an aggregation of consensus given a set of past interactions. Aggregating data is a way of compressing the transmitted packet, in a sense that the packet is comprised of only necessary information. This paper present, total Trust calculation in WSN nodes. We calculate the total trust by direct trust using probabilistic approach and indirect trust using Dempstar-Shafer theory (combination of evidence).Here we also find out aggregation value of a node using Poisson distribution and alsocompare between PDR value and average cumulative Poisson distribution.Results of various simulation experiments show that theproposed system can be highly effective for aggregation value of a node than to aggregate of node using coding by ordering technique.