{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,4,5]],"date-time":"2025-04-05T04:03:31Z","timestamp":1743825811604,"version":"3.40.3"},"reference-count":0,"publisher":"SASA Publications","issue":"1","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["JoWUA"],"published-print":{"date-parts":[[2025,3,31]]},"abstract":"<jats:p>Wireless sensor networks (WSNs) provide huge potential in various applications such as ecological \nmonitoring, healthcare, smart environment and various applications such as robotics. Nevertheless, \ndeveloping an effective mac protocol for WSNS is challenging due to high energy consumption, \nscalability issues, and delays. This task introduces an organized Mac protocol to cross these \nboundaries. The proportional scaling cuttlefish optimization approach (PS-COA) is used by the \nprotocol in order to accomplish the following goals: grouping nodes into groups; balancing energy \nconsumption; and stabilizing network performance. Hebbian Plasticity Neural Networks (HPNN\nNAI) are able to plan node activity because they are able to differentiate between active and passive \nnodes. This allows them to reduce the amount of time and delay that is spent in passive mode, which \nin turn reduces the amount of energy that is used. The outcomes of the experiments indicate that this \nmethod, in contrast to the protocol that is now in use, results in an improvement in energy efficiency, \na speeding up of data transmission, and an extension of the network's lifetime. Through the use of \nthe innovative combination of PS-COA, MPNC, RC-FFO, and HPNN-NAI, it has been possible to \naccomplish the goal of achieving significance in the design and efficiency of the Mac Protocol for \nWSNS.<\/jats:p>","DOI":"10.58346\/jowua.2025.i1.026","type":"journal-article","created":{"date-parts":[[2025,4,4]],"date-time":"2025-04-04T05:16:05Z","timestamp":1743743765000},"page":"431-455","source":"Crossref","is-referenced-by-count":0,"title":["A Multi-Faceted Framework to Enhance Lifespan and Optimize Latency in Wireless Sensor Networks"],"prefix":"10.58346","volume":"16","author":[{"given":"Seethamraju Sudhamsu","family":"Mouli","sequence":"first","affiliation":[]},{"given":"Veeraiah","family":"Thalagondapati","sequence":"additional","affiliation":[]},{"given":"T.","family":"Raja Rao","sequence":"additional","affiliation":[]}],"member":"37075","published-online":{"date-parts":[[2025,3,31]]},"container-title":["Journal of Wireless Mobile Networks, Ubiquitous Computing, and Dependable Applications"],"original-title":[],"deposited":{"date-parts":[[2025,4,4]],"date-time":"2025-04-04T05:16:07Z","timestamp":1743743767000},"score":1,"resource":{"primary":{"URL":"https:\/\/jowua.com\/wp-content\/uploads\/2025\/04\/2025.I1.026.pdf"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,3,31]]},"references-count":0,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2025,3,31]]},"published-print":{"date-parts":[[2025,3,31]]}},"URL":"https:\/\/doi.org\/10.58346\/jowua.2025.i1.026","relation":{},"ISSN":["2093-5374"],"issn-type":[{"value":"2093-5374","type":"print"}],"subject":[],"published":{"date-parts":[[2025,3,31]]}}}