{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,10]],"date-time":"2026-06-10T16:41:36Z","timestamp":1781109696159,"version":"3.54.1"},"reference-count":46,"publisher":"SAGE Publications","issue":"7","license":[{"start":{"date-parts":[[2020,7,1]],"date-time":"2020-07-01T00:00:00Z","timestamp":1593561600000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100003725","name":"National Research Foundation of Korea","doi-asserted-by":"publisher","award":["NRF-2018K1A3A1A09078981"],"award-info":[{"award-number":["NRF-2018K1A3A1A09078981"]}],"id":[{"id":"10.13039\/501100003725","id-type":"DOI","asserted-by":"publisher"}]},{"name":"National Research Foundation of South Africa","award":["117799"],"award-info":[{"award-number":["117799"]}]}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["International Journal of Distributed Sensor Networks"],"published-print":{"date-parts":[[2020,7]]},"abstract":"<jats:p> The current dispensation of big data analytics requires innovative ways of data capturing and transmission. One of the innovative approaches is the use of a sensor device. However, the challenge with a sensor network is how to balance the energy load of wireless sensor networks, which can be achieved by selecting sensor nodes with an adequate amount of energy from a cluster. The clustering technique is one of the approaches to solve this challenge because it optimizes energy in order to increase the lifetime of the sensor network. In this article, a novel bio-inspired clustering algorithm was proposed for a heterogeneous energy environment. The proposed algorithm (referred to as DEEC-KSA) was integrated with a distributed energy-efficient clustering algorithm to ensure efficient energy optimization and was evaluated through simulation and compared with benchmarked clustering algorithms. During the simulation, the dynamic nature of the proposed DEEC-KSA was observed using different parameters, which were expressed in percentages as 0.1%, 4.5%, 11.3%, and 34% while the percentage of the parameter for comparative algorithms was 10%. The simulation result showed that the performance of DEEC-KSA is efficient among the comparative clustering algorithms for energy optimization in terms of stability period, network lifetime, and network throughput. In addition, the proposed DEEC-KSA has the optimal time (in seconds) to send a higher number of packets to the base station successfully. The advantage of the proposed bio-inspired technique is that it utilizes random encircling and half-life period to quickly adapt to different rounds of iteration and jumps out of any local optimum that might not lead to an ideal cluster formation and better network performance. <\/jats:p>","DOI":"10.1177\/1550147720908772","type":"journal-article","created":{"date-parts":[[2020,7,24]],"date-time":"2020-07-24T05:43:53Z","timestamp":1595569433000},"page":"155014772090877","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":22,"title":["Intelligent energy optimization for advanced IoT analytics edge computing on wireless sensor networks"],"prefix":"10.1177","volume":"16","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5718-4494","authenticated-orcid":false,"given":"Israel Edem","family":"Agbehadji","sequence":"first","affiliation":[{"name":"ICT and Society Research Group, Department of Information Technology, Durban University of Technology, Durban, South Africa"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Samuel Ofori","family":"Frimpong","sequence":"additional","affiliation":[{"name":"ICT and Society Research Group, Department of Information Technology, Durban University of Technology, Durban, South Africa"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Richard C","family":"Millham","sequence":"additional","affiliation":[{"name":"ICT and Society Research Group, Department of Information Technology, Durban University of Technology, Durban, South Africa"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Simon James","family":"Fong","sequence":"additional","affiliation":[{"name":"ICT and Society Research Group, Department of Computer and Information Science, University of Macau, Taipa, Macau SAR"},{"name":"Durban University of Technology, Durban, South Africa"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jason J","family":"Jung","sequence":"additional","affiliation":[{"name":"Chung-Ang University, Seoul, South Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"179","published-online":{"date-parts":[[2020,7,23]]},"reference":[{"key":"bibr1-1550147720908772","doi-asserted-by":"publisher","DOI":"10.1145\/3204947"},{"key":"bibr2-1550147720908772","unstructured":"Ristl A. 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