Abstract

Wireless sensor network (WSN) contains thousands of sensor nodes with less memory and low power devices. The major challenge faced by wireless sensor networks is security. Because of dynamic and collaborative nature of sensor networks the connected sensor devices makes the network unusable. To solve this issue, a trust model is required to identify malicious, selfish and compromised nodes. However, existing trust systems developed for WSNs are incapable of securing because of their high overhead and low dependability. In this work, improved lightweight and dependable trust system for WSNs is proposed. First, a lightweight trust decision-making scheme is proposed based on the nodes’ identities (roles) in the clustered WSNs, which is suitable for such WSNs because it facilitates energy-saving. Second direct trust value is calculated using the residual energy calculation and packet transmission between the nodes. Along with the direct trust value calculation, feedbacks cancelling between cluster members (CMs) or between cluster heads (CHs) are also considered. More importantly, considering that CHs take on large amounts of data forwarding and communication tasks, a dependability-enhanced trust evaluating approach is defined for co-operations between CHs. This approach surpasses the limitations of traditional weighting methods for trust factors, in which weights are assigned subjectively. Theory as well as simulation results shows that improved LDTS demands less memory and communication overhead compared with the current typical trust systems for WSNs

Paper Details