{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,2]],"date-time":"2026-05-02T06:45:14Z","timestamp":1777704314949,"version":"3.51.4"},"reference-count":14,"publisher":"SAGE Publications","issue":"4","license":[{"start":{"date-parts":[[2020,7,17]],"date-time":"2020-07-17T00:00:00Z","timestamp":1594944000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Journal of Intelligent &amp; Fuzzy Systems"],"published-print":{"date-parts":[[2020,10,21]]},"abstract":"<jats:p>Interference in Wireless Sensor Network (WSN) predominantly affects the performance of the WSN. Energy consumption in WSN is one of the greatest concerns in the current generation. This work presents an approach for interference measurement and interference mitigation in point to point network. The nodes are distributed in the network and interference is measured by grouping the nodes in the region of a specific diameter. Hence this approach is scalable and isextended to large scale WSN. Interference is measured in two stages. In the first stage, interference is overcome by allocating time slots to the node stations in Time Division Multiple Access (TDMA) fashion. The node area is split into larger regions and smaller regions. The time slots are allocated to smaller regions in TDMA fashion. A TDMA based time slot allocation algorithm is proposed in this paper to enable reuse of timeslots with minimal interference between smaller regions. In the second stage, the network density and control parameter is introduced to reduce interference in a minor level within smaller node regions. The algorithm issimulated and the system is tested with varying control parameter. The node-level interference and the energy dissipation at nodes are captured by varying the node density of the network. The results indicate that the proposed approach measures the interference and mitigates with minimal energy consumption at nodes and with less overhead transmission.<\/jats:p>","DOI":"10.3233\/jifs-189028","type":"journal-article","created":{"date-parts":[[2020,7,28]],"date-time":"2020-07-28T15:15:21Z","timestamp":1595949321000},"page":"5449-5458","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":2,"title":["Interference mitigation in point to point wireless sensor networks using LSP protocol and time division multiplexing approach"],"prefix":"10.1177","volume":"39","author":[{"given":"A.","family":"Arokiaraj Jovith","sequence":"first","affiliation":[{"name":"SRM Institute of Science and Technology, Kattankulathur, Chengalpattu, Tamil Nadu, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"S.V.","family":"Kasmir Raja","sequence":"additional","affiliation":[{"name":"SRM Institute of Science and Technology, Kattankulathur, Chengalpattu, Tamil Nadu, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"A.","family":"Razia Sulthana","sequence":"additional","affiliation":[{"name":"BITS-Pilani, Dubai"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","published-online":{"date-parts":[[2020,7,17]]},"reference":[{"key":"e_1_3_1_2_2","doi-asserted-by":"publisher","DOI":"10.1109\/MWC.2004.1368893"},{"key":"e_1_3_1_3_2","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2010.04.080749"},{"key":"e_1_3_1_4_2","doi-asserted-by":"publisher","DOI":"10.1109\/49.840210"},{"key":"e_1_3_1_5_2","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2017.2728367"},{"key":"e_1_3_1_6_2","doi-asserted-by":"publisher","DOI":"10.1109\/WCL.2013.110713.130668"},{"key":"e_1_3_1_7_2","doi-asserted-by":"publisher","DOI":"10.1109\/JSEN.2015.2472970"},{"key":"e_1_3_1_8_2","doi-asserted-by":"publisher","DOI":"10.1109\/CC.2016.7445505"},{"key":"e_1_3_1_9_2","doi-asserted-by":"crossref","unstructured":"AlazzawiL.K. 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