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Increasing fault tolerance ability and network lifetime with clustered pollination in wireless sensor networks


Achyut Shankar, Nithya Rekha Sivakumar, M. Sivaram, A. Ambikapathy, Truong Khang Nguyen, Vigneswaran Dhasarathan

Source title: 
Journal of Ambient Intelligence and Humanized Computing, 12: 2285-2298, 2020 (ISI)
Academic year of acceptance: 

The significance of wireless sensor network (WSN) applications is to examine dangerous and remote fields that are not reachable or complex or expensive to reach human insights. This feature leads to self-managed networking that may face enormous confronts in energy consumption, fault tolerance and network lifetime based restraints owing certain non-renewable energy resources. From this research, an effectual managing strategy has been provided and methodology to tolerate faults in a network has been anticipated. To model these kinds of framework, fault recognition and revitalization approaches for handling diverse faulty levels have to be considered, i.e. communication and network nodes among them are used. The anticipated management strategy and protocol model may improve network-based fault tolerance ability in network nodes and corresponding transmission among them. As well as, network lifetime is increased for about five times higher than existing methods. Subsequently, it is validated that network fault tolerance proficiency is decreased with 2% and improved network lifetime with 10%. It improves data transmission and reduces energy consumption and increases network lifetime. Simulation is carried out in MATLAB 2018a environment. This model provides the finest results in terms of fault tolerance, network lifetime and energy consumption.