Shafik, W.; Matinkhah, S.M.; Ghasemzadeh, M. A Mobile Fuzzy Sink Scheme for Wireless Sensor Network Period Improvement. 2020 8th Iranian Joint Congress on Fuzzy and intelligent Systems (CFIS) 2020, doi:10.1109/cfis49607.2020.9238684.
Shafik, W.; Matinkhah, S.M.; Ghasemzadeh, M. A Mobile Fuzzy Sink Scheme for Wireless Sensor Network Period Improvement. 2020 8th Iranian Joint Congress on Fuzzy and intelligent Systems (CFIS) 2020, doi:10.1109/cfis49607.2020.9238684.
Shafik, W.; Matinkhah, S.M.; Ghasemzadeh, M. A Mobile Fuzzy Sink Scheme for Wireless Sensor Network Period Improvement. 2020 8th Iranian Joint Congress on Fuzzy and intelligent Systems (CFIS) 2020, doi:10.1109/cfis49607.2020.9238684.
Shafik, W.; Matinkhah, S.M.; Ghasemzadeh, M. A Mobile Fuzzy Sink Scheme for Wireless Sensor Network Period Improvement. 2020 8th Iranian Joint Congress on Fuzzy and intelligent Systems (CFIS) 2020, doi:10.1109/cfis49607.2020.9238684.
Abstract
Wireless Sensor Networks (WSNs) is considered to be a promising research area since it entails sensing capabilities. WSNs are confronted by fabricated explosion injection attacks and in return results into draining of vitality on sensor nodes routing mainly because of increased capabilities in a broad range of applications where sensor nodes use a battery as the power source. In this paper, we reveal and claim a state-of-the-art model to minimize vitality depletion of nodes within the network in return increases network period to more realistic stretch. It is revealed that the main cause is vitality consumption unbalances in different parts of the network direct resulting from having a static sink. More still, the network nodes neighboring the sink insistently partake in progressing data of other nodes to the sink. Consequently, the network nodes are supplementarily subjected to untimely vitality exhaustion. This paper mainly provides a novel movable (mobile) fuzzy logic sink approach and an intelligent system like expect systems that are able to scrutinize network situation, and make the superlative choice for spreading the network period robotically.
Engineering, Electrical and Electronic Engineering
Copyright:
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