FCERP: a novel WSNs fuzzy clustering and energy efficient routing protocol
Wireless sensor networks (WSNs) are set of sensor nodes to monitor and detect transmitted data to the sink. WSNs face significant challenges in terms of node energy availability, which may impact network sustainability. As a result, developing protocols and algorithms that make the best use of limit...
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my.um.eprints.432792025-02-10T02:49:03Z http://eprints.um.edu.my/43279/ FCERP: a novel WSNs fuzzy clustering and energy efficient routing protocol Alansari, Zainab Siddique, Mohammed Ashour, Mohammed Waleed QA75 Electronic computers. Computer science Wireless sensor networks (WSNs) are set of sensor nodes to monitor and detect transmitted data to the sink. WSNs face significant challenges in terms of node energy availability, which may impact network sustainability. As a result, developing protocols and algorithms that make the best use of limited resources, particularly energy resources, is critical issues for designing WSNs. Routing algorithms, for example, are unique algorithms as they have a direct and effective relationship with lifetime of network and energy. The available routing protocols employ single-hop data transmission to the sink and clustering per round. In this paper, a Fuzzy Clustering and Energy Efficient Routing Protocol (FCERP) that lower the WSNs energy consuming and increase the lifetime of network is proposed. FCERP introduces a new cluster-based fuzzy routing protocol capable of utilizing clustering and multiple hop routing features concurrently using a threshold limit. A novel aspect of this research is that it avoids clustering per round while considering using fixed threshold and adapts multi-hop routing by predicting the best intermediary node for clustering and the sink. Some Fuzzy factors such as residual energy, neighbors amount, and distance to sink considered when deciding which intermediary node to use. © 2022 by the author(s). International Association for Educators and Researchers (IAER) 2022 Article PeerReviewed Alansari, Zainab and Siddique, Mohammed and Ashour, Mohammed Waleed (2022) FCERP: a novel WSNs fuzzy clustering and energy efficient routing protocol. Annals of Emerging Technologies in Computing, 6 (1). 31 – 42. ISSN 2516-0281, DOI https://doi.org/10.33166/AETiC.2022.01.002 <https://doi.org/10.33166/AETiC.2022.01.002>. https://www.scopus.com/inward/record.uri?eid=2-s2.0-85125007060&doi=10.33166%2fAETiC.2022.01.002&partnerID=40&md5=e70ab772462c61dee649059006064fc2 10.33166/AETiC.2022.01.002 |
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QA75 Electronic computers. Computer science Alansari, Zainab Siddique, Mohammed Ashour, Mohammed Waleed FCERP: a novel WSNs fuzzy clustering and energy efficient routing protocol |
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Wireless sensor networks (WSNs) are set of sensor nodes to monitor and detect transmitted data to the sink. WSNs face significant challenges in terms of node energy availability, which may impact network sustainability. As a result, developing protocols and algorithms that make the best use of limited resources, particularly energy resources, is critical issues for designing WSNs. Routing algorithms, for example, are unique algorithms as they have a direct and effective relationship with lifetime of network and energy. The available routing protocols employ single-hop data transmission to the sink and clustering per round. In this paper, a Fuzzy Clustering and Energy Efficient Routing Protocol (FCERP) that lower the WSNs energy consuming and increase the lifetime of network is proposed. FCERP introduces a new cluster-based fuzzy routing protocol capable of utilizing clustering and multiple hop routing features concurrently using a threshold limit. A novel aspect of this research is that it avoids clustering per round while considering using fixed threshold and adapts multi-hop routing by predicting the best intermediary node for clustering and the sink. Some Fuzzy factors such as residual energy, neighbors amount, and distance to sink considered when deciding which intermediary node to use. © 2022 by the author(s). |
format |
Article |
author |
Alansari, Zainab Siddique, Mohammed Ashour, Mohammed Waleed |
author_facet |
Alansari, Zainab Siddique, Mohammed Ashour, Mohammed Waleed |
author_sort |
Alansari, Zainab |
title |
FCERP: a novel WSNs fuzzy clustering and energy efficient routing protocol |
title_short |
FCERP: a novel WSNs fuzzy clustering and energy efficient routing protocol |
title_full |
FCERP: a novel WSNs fuzzy clustering and energy efficient routing protocol |
title_fullStr |
FCERP: a novel WSNs fuzzy clustering and energy efficient routing protocol |
title_full_unstemmed |
FCERP: a novel WSNs fuzzy clustering and energy efficient routing protocol |
title_sort |
fcerp: a novel wsns fuzzy clustering and energy efficient routing protocol |
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International Association for Educators and Researchers (IAER) |
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2022 |
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http://eprints.um.edu.my/43279/ https://www.scopus.com/inward/record.uri?eid=2-s2.0-85125007060&doi=10.33166%2fAETiC.2022.01.002&partnerID=40&md5=e70ab772462c61dee649059006064fc2 |
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