A Secure Ant Colony based Trust Computation Model in Wireless Sensor Networks

Abstract

We have always observed that the wirelessly connected sensors have difficulties inmaintaining the charge and transmitting data safely from the sender to the receiver end. Due to this the longevity of the nodes doesn’t last longer and the efficiency is found to be very less. The chances of data being lost during the transmission are also very high. This paper deals withthe methods employed to cut short the energy used by the nodes, transmit data safely from sender to receiver and also increase the efficiency. This paper associates algorithms like LEACH, ACO, ECC which in integration performs operations that selects the cluster head, reduces energy consumption. In the proposed technique transmission of data happens from thecluster member to cluster head and from the cluster head to the base station. The results showthat the LEACH-ACO algorithm significantly reduces the average energy consumption. Thethreshold value of each and every task has to be defined manually keeping in mind the risk thatthe task is able to handle. The threshold value differs with different systems. By cross checking the trust value that was obtained by computing and the threshold trust value, it is straight forward to conclude if the particular node is a safe node or an unsafe node. The proposed protocol reduces overall energy consumption by reducing the number of dead nodes, and providing an optimal path with increased packets delivery ratio.