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Title Internet of things based smart city design using fog computing and fuzzy logic
ID_Doc 37501
Authors Bhardwaj, KK; Banyal, S; Sharma, DK; Al-Numay, W
Title Internet of things based smart city design using fog computing and fuzzy logic
Year 2022
Published
DOI 10.1016/j.scs.2022.103712
Abstract The prevalence of IoT based technology in contemporary society allows for the planning of smart city infrastructure with individually owned devices as participating nodes in a social smart network. Edge computing application into such an IoT network facilitates the distributed computing framework by bringing the computational application closer to the end-users in form of Fog sub-networks, comprising the local participating end user IoT nodes as service requesters and specialized servers catering to the requests, modelled for the infrastructure category they are delivering (Smart healthcare, ITS, Smart architecture, etc.). Opportunistic-based last mile connectivity between the Fog servers and participating nodes aides the dynamicity of the topology for efficient information. Aiding the same, the proposed edge computing enabled, sustainable, opportunistic IoTbased intuitive data exchange, collection and operation scheme that employs a dynamic routing procedure that considers human interactions, their movement patterns and their decision-making process. The proposed scheme employs probabilistic history-based parameters that keep track of node interactions. The interactions are modelled on the Firefly PSO, allowing exploitation of the social mobility. The Fuzzy logic is used for hop decision making based on the social and attribute-based parameters which mimic intuitive and pragmatic decision making of humans in terms of social interactions and mobility.
Author Keywords Internet of things; Opportunistic networks; Smart city architecture; Edge computing; Fog computing; Firefly algorithm; Fuzzy logic; Nature inspired algorithm; Probabilistic routing
Index Keywords Index Keywords
Document Type Other
Open Access Open Access
Source Science Citation Index Expanded (SCI-EXPANDED)
EID WOS:000780313100004
WoS Category Construction & Building Technology; Green & Sustainable Science & Technology; Energy & Fuels
Research Area Construction & Building Technology; Science & Technology - Other Topics; Energy & Fuels
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