A fuzzy logic-based sustainable and trusted routing for P2P enabled smart grid. (2016)

• Record Type: Journal Article
• Authors: Xiang, Ming; Liu, William; Bai, Quan
• Is Part Of: International journal of computational science and engineering. Volume 13:Number 2(2016)
• Page Start: 165
• Page End: 174
• Publication Date: 2016
• Subjects: trust-based routing -- peer-to-peer networks -- P2P networks -- network structure -- energy aware -- smart grid -- fuzzy logic -- trust management -- reputation management -- geographical routing -- sustainable routing -- trusted routing -- wireless mesh networks -- WSNs -- network availability -- geo-routing -- simulation; Computer science -- Mathematics -- Periodicals; Computer simulation -- Mathematical aspects -- Periodicals; Computational intelligence -- Periodicals; 004.015105
• Languages: English
• ISSNs: 1742-7185

Abstract

Smart grid is the trend of next generation electrical power system which has integrated the information and communication technologies and enables the existing power grid to perform more intelligent and efficient operations. A high level of network availability is therefore required to guarantee two-way flows of electricity and information among electrical units. The peer-to-peer wireless mesh network infrastructure can provide redundant routes for the smart grid communications to ensure the network availability. However, the P2P infrastructure is vulnerable to cyber-attacks. In this paper, we propose a new fuzzy-based energy aware trusted geo-routing (FEATGR), which can decide the optimal end-to-end path between any source and destination by effectively leveraging the energy consumption, location and trust metrics. The extensive simulation studies have confirmed that FEATGR is capable to achieve the stable and secured routing performance and also can guarantee the high level of network availability for P2P smart grid communications.