Abstract

Background: Wireless Mesh Network (WMN) is a continuously self-configuring, infrastructure-less network. A fundamental issue arising in Wireless Mesh Network is the selection of the optimal path between any two nodes. A route discovery attempt can possibly result in several paths being uncovered for a single destination.

Methods: In this paper, we have proposed trust-based geographical routing algorithms to tackle the cyber-attacks in Smart Grid, which are inspired from the existing Ambient Trust Sensor Routing (ATSR) algorithm. The Fuzzy-based Energy Aware Trust Geographical Routing in Wireless mesh network (FEATGRWMN) is proposed by using the fuzzy logic approach. It can synthesize the trust, energy, and distance metrics to calculate one final score as the routing metric for determining the best route between source and destination nodes.

Findings: The extensive simulation studies have confirmed that our new FEATGRWMN algorithm is more timesensitive to detect then avoid the recent malicious attacks than the existing ATSR algorithm.

Application: The FEATGRWMN algorithm is able to achieve better routing performance in different network scenarios by solving the weight factor issue.

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