Design of Dependable and Trustworthiness Of Data Communication In WSN

This work discusses a novel of the most challenging issues so far is the extension of network lifetime with regards to small battery capacity and self-sustained operation. Endeavors to save energy have been made on various frontiers, ranging from hardware improvements over medium access and routing protocols to network clustering and role changing strategies. In addition some authors studied failures in communication regarded as error detection 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. Due to canceling feedback between cluster members (CMs) or between cluster heads (CHs), this approach can significantly improve system ef iciency while reducing the effect of malicious nodes. More importantly, considering that CHs take on large amount of data forwarding and communication tasks, a dependability-enhancedtrust evaluating approach is defined for cooperations between CHs. This approach can effectively reduce networking consumption while malicious, selfish, and faulty CHs. Moreover, a self-adaptive weighted method is defined for trust aggregationat CH level. This approach surpasses the limitations of traditional weighting methods for trust factors, in which weights are assignesubjectively. Theory as well as simulation results shows that LDTS demands less memory and communication overhead compared with the current typical trust systems for WSNs.