Abstract
The cooperative nature of multihop wireless sensor networks (WSNs) makes it vulnerable to varied types of attacks. The sensitive application environments and resource constraints of WSNs mandate the requirement of lightweight security scheme. The earlier security solutions were based on historical behavior of neighbor but the security can be enhanced by predicting the future behavior of the nodes in the network. In this paper, we proposed a fuzzy-based trust prediction model for routing (FTPR) in WSNs with minimal overhead in regard to memory and energy consumption. FTPR incorporates a trust prediction model that predicts the future behavior of the neighbor based on the historical behavior, fluctuations in trust value over a period of time, and recommendation inconsistency. In order to reduce the control overhead, FTPR received recommendations from a subset of neighbors who had maximum number of interactions with the requestor. Theoretical analysis and simulation results of FTPR protocol demonstrate higher packet delivery ratio, higher network lifetime, lower end-to-end delay, and lower memory and energy consumption than the traditional and existing trust-based routing schemes.
Highlights
Wireless sensor networks (WSNs) have attractive wider range of application from civil sector to military [1,2,3,4,5]
(b) Algorithm for processing the trust request (TREQ) message Neighbor ri receives the TREQ message broadcast by the subject if (TReqId is new and not processed earlier) ri checks its trust table for trust relationship with target if (TDL(ri, T) is available in the transaction table) and ri unicasts the trust reply (TREP) message to S ⟨ri, S, T, TDL(ri, T)⟩ else discards the TREQ packet end if else discards the TREQ packet end if Algorithm 1: Algorithm for processing TREQ and TREP
The packet loss of FTPR, 2-ACKT, Group-based trust management scheme (GTMS), and AODV protocols was plotted against varying percentage of malicious attacks as Direct trust value LLLLLLMMMMMMHHHHHH
Summary
Wireless sensor networks (WSNs) have attractive wider range of application from civil sector to military [1,2,3,4,5]. In order to reduce the damages caused due to malicious activities in mission critical applications, the behavior of a node should be predicted in advance based on the historical trust and the tendency of that node to maintain it consistently with the neighboring nodes in the network. To address these issues, in this paper we proposed a novel fuzzy-based trust prediction model for routing (FTPR) in WSNs. FTPR was designed with the following objectives:.
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