{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,17]],"date-time":"2026-02-17T13:03:21Z","timestamp":1771333401870,"version":"3.50.1"},"reference-count":28,"publisher":"SAGE Publications","issue":"5","license":[{"start":{"date-parts":[[2019,10,4]],"date-time":"2019-10-04T00:00:00Z","timestamp":1570147200000},"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":[[2019,11,22]]},"abstract":"<jats:p>Wireless sensor networks (WSNs) found application in many diverse fields, starting from environment monitoring to machine health monitoring. The sensor in WSNs senses information. Sensing and transmitting this information consume most of the energy. Also, this information requires proper processing before final usages. This paper deals with minimising the redundant information sensed by the sensors in WSNs to reduce the unnecessary energy consumption and prolong the network lifetime. The redundant information is expressed in terms of the overlapping sensing area of the working sensors set. A mathematical model is proposed to find the redundant information in terms of the overlapping area. A combined meta-heuristic approach is used to achieve the optimal coverage, and the effect of the overlapping area is considered in the objective function to reduce the amount of redundant information sensed by the working sensors set. Improved genetic algorithm (IGA) and Binary ant colony algorithm (BACA) are used as meta-heuristic tools to optimise the multi-objective function. The objective was to find the minimum number of sensors that cover a complete scenario with minimum overlapping sensing region. The results show that optimal coverage with the minimum working sensor set is achieved and then by incorporating the concept of overlapping area in the objective function, sensing of redundant information is further reduced.<\/jats:p>","DOI":"10.3233\/jifs-190605","type":"journal-article","created":{"date-parts":[[2019,10,8]],"date-time":"2019-10-08T12:40:42Z","timestamp":1570538442000},"page":"6829-6839","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":15,"title":["Mathematical modelling for reducing the sensing of redundant information in WSNs based on biologically inspired techniques"],"prefix":"10.1177","volume":"37","author":[{"given":"Abhilash","family":"Singh","sequence":"first","affiliation":[{"name":"Indian Institute of Science Education and Research, Bhopal, India"},{"name":"Department of Electronics and Communication Engineering, Gautam Buddha University, Greater Noida, India"}]},{"given":"Sandeep","family":"Sharma","sequence":"additional","affiliation":[{"name":"Department of Electronics and Communication Engineering, Gautam Buddha University, Greater Noida, India"}]},{"given":"Jitendra","family":"Singh","sequence":"additional","affiliation":[{"name":"Department of Electrical Engineering, Indian Institute of Technology Kanpur, Kanpur, India"}]},{"given":"Rahul","family":"Kumar","sequence":"additional","affiliation":[{"name":"Department of Electrical Engineering, Indian Institute of Technology Delhi, Delhi, India"}]}],"member":"179","published-online":{"date-parts":[[2019,10,4]]},"reference":[{"key":"e_1_3_2_2_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.adhoc.2003.09.010"},{"key":"e_1_3_2_3_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.comnet.2008.04.002"},{"key":"e_1_3_2_4_2","doi-asserted-by":"publisher","DOI":"10.1007\/s11227-013-1021-9"},{"key":"e_1_3_2_5_2","article-title":"Deployment techniques in wireless sensor networks, coverage and connectivity: A survey","author":"Farsi M.","year":"2019","unstructured":"FarsiM., ElhosseiniM.A., BadawyM., ArafatH. and ZainEldinH., Deployment techniques in wireless sensor networks, coverage and connectivity: A survey, IEEE Access (2019).","journal-title":"IEEE Access"},{"issue":"3","key":"e_1_3_2_6_2","first-page":"245","article-title":"Adaptive algorithms for discovering and using general patterns in growing knowledge bases","volume":"4","author":"Holland J.H.","year":"1980","unstructured":"HollandJ.H., Adaptive algorithms for discovering and using general patterns in growing knowledge bases, International Journal of Policy Analysis and Information Systems 4(3) (1980), 245\u2013268.","journal-title":"International Journal of Policy Analysis and Information Systems"},{"key":"e_1_3_2_7_2","unstructured":"DorigoM. and BirattariM. Ant colony optimization Springer 2010."},{"key":"e_1_3_2_8_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.jcde.2015.06.003"},{"key":"e_1_3_2_9_2","doi-asserted-by":"publisher","DOI":"10.1109\/TSMCC.2010.2054080"},{"key":"e_1_3_2_10_2","doi-asserted-by":"crossref","unstructured":"KaplantzisS. ShiltonA. ManiN. and SekerciogluY. A. Detecting selective forwarding attacks in wireless sensor networks using support vector machines in 2007 3rd International Conference on Intelligent Sensors Sensor Networks and Information IEEE 2007 pp. 335\u2013340.","DOI":"10.1109\/ISSNIP.2007.4496866"},{"key":"e_1_3_2_11_2","doi-asserted-by":"publisher","DOI":"10.1109\/SURV.2011.040310.00002"},{"issue":"2","key":"e_1_3_2_12_2","article-title":"Elitist genetic algorithm based energy efficient routing scheme for wireless sensor networks","volume":"2","author":"Singh V.K.","year":"2012","unstructured":"SinghV.K. and SharmaV., Elitist genetic algorithm based energy efficient routing scheme for wireless sensor networks, International Journal Of Advanced Smart Sensor Network Systems (IJASSN) 2(2) (2012).","journal-title":"International Journal Of Advanced Smart Sensor Network Systems (IJASSN)"},{"key":"e_1_3_2_13_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.tre.2010.01.006"},{"issue":"10","key":"e_1_3_2_14_2","first-page":"3113","article-title":"A discrete ant lion optimization (dalo) algorithm for solving data gathering tour problem in wireless sensor networks","volume":"24","author":"Yogarajan G.","year":"2016","unstructured":"YogarajanG. and RevathiT., A discrete ant lion optimization (dalo) algorithm for solving data gathering tour problem in wireless sensor networks, Middle-East Journal of Scientific Research 24(10) (2016), 3113\u20133120.","journal-title":"Middle-East Journal of Scientific Research"},{"key":"e_1_3_2_15_2","doi-asserted-by":"publisher","DOI":"10.1109\/JSEN.2013.2290433"},{"key":"e_1_3_2_16_2","doi-asserted-by":"publisher","DOI":"10.4218\/etrij.11.0110.0692"},{"issue":"5","key":"e_1_3_2_17_2","doi-asserted-by":"crossref","first-page":"981","DOI":"10.1109\/TIM.2007.913803","article-title":"Wireless sensor network modeling using modified recurrent neural networks: Application to fault detection","volume":"57","author":"Moustapha A.I.","year":"2008","unstructured":"MoustaphaA.I. and SelmicR.R., Wireless sensor network modeling using modified recurrent neural networks: Application to fault detection, IEEE Transactions on Instrumentation and Measurement 57(5) (2008), 981\u2013988.","journal-title":"IEEE Transactions on Instrumentation and Measurement"},{"key":"e_1_3_2_18_2","doi-asserted-by":"crossref","unstructured":"SharmaS. SinghJ. KumarR. and SinghA. Throughputsave ratio optimization in wireless powered communication systems in 2017 International Conference on Information Communication Instrumentation and Control (ICICIC) 2017 pp. 1\u20136. [Online]. Available: https:\/\/doi.org\/10.1109\/ICOMICON.2017.8279031","DOI":"10.1109\/ICOMICON.2017.8279031"},{"key":"e_1_3_2_19_2","doi-asserted-by":"crossref","unstructured":"KumarR. and SinghA. Throughput optimization for wireless information and power transfer in communication network in 2018 Conference on Signal Processing And Communication Engineering Systems (SPACES) 2018 pp. 1\u20135. [Online]. Available: https:\/\/doi.org\/10.1109\/SPACES.2018.8316303","DOI":"10.1109\/SPACES.2018.8316303"},{"key":"e_1_3_2_20_2","unstructured":"ImranM. HasbullahH. and SaidA.M. Personality wireless sensor networks (pwsns) CoRR vol. abs\/1212.5543 2012. [Online]. Available: http:\/\/arxiv.org\/abs\/1212.5543"},{"issue":"5","key":"e_1_3_2_21_2","first-page":"1591","article-title":"Wsn path optimization based on fusion of improved ant colony algorithm and genetic algorithm","volume":"6","author":"Sun Y.","year":"2010","unstructured":"SunY. and TianJ., Wsn path optimization based on fusion of improved ant colony algorithm and genetic algorithm, Journal of Computational Information Systems 6(5) (2010), 1591\u20131599.","journal-title":"Journal of Computational Information Systems"},{"key":"e_1_3_2_22_2","doi-asserted-by":"publisher","DOI":"10.1201\/9780203713402"},{"issue":"3","key":"e_1_3_2_23_2","first-page":"329","article-title":"Fault diagnosis based on ant colony optimal algorithm","volume":"1","author":"Wang M.","year":"2005","unstructured":"WangM., HeJ. and XueY., Fault diagnosis based on ant colony optimal algorithm, International Journal of Information and Systems Sciences 1(3\u20134) (2005), 329\u2013338.","journal-title":"International Journal of Information and Systems Sciences"},{"issue":"3","key":"e_1_3_2_24_2","first-page":"10","article-title":"Binary ant colony evolutionary algorithm","volume":"12","author":"Xiong W.","year":"2006","unstructured":"XiongW., WangL. and YanC., Binary ant colony evolutionary algorithm, International Journal of Information Technology 12(3) (2006), 10\u201320.","journal-title":"International Journal of Information Technology"},{"key":"e_1_3_2_25_2","doi-asserted-by":"publisher","DOI":"10.1186\/s13638-016-0605-5"},{"key":"e_1_3_2_26_2","unstructured":"WeissteinE.W. Circle-circle intersection. [Online]. Available: http:\/\/mathworld.wolfram.com\/Circle-Circle Intersection.html Accessed: 9 January 2018"},{"key":"e_1_3_2_27_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.comnet.2012.02.008"},{"key":"e_1_3_2_28_2","doi-asserted-by":"publisher","DOI":"10.1186\/1687-1499-2013-262"},{"key":"e_1_3_2_29_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.adhoc.2018.07.003"}],"container-title":["Journal of Intelligent &amp; Fuzzy Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/journals.sagepub.com\/doi\/pdf\/10.3233\/JIFS-190605","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/journals.sagepub.com\/doi\/full-xml\/10.3233\/JIFS-190605","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/journals.sagepub.com\/doi\/pdf\/10.3233\/JIFS-190605","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,2,4]],"date-time":"2026-02-04T17:24:14Z","timestamp":1770225854000},"score":1,"resource":{"primary":{"URL":"https:\/\/journals.sagepub.com\/doi\/10.3233\/JIFS-190605"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,10,4]]},"references-count":28,"journal-issue":{"issue":"5","published-print":{"date-parts":[[2019,11,22]]}},"alternative-id":["10.3233\/JIFS-190605"],"URL":"https:\/\/doi.org\/10.3233\/jifs-190605","relation":{},"ISSN":["1064-1246","1875-8967"],"issn-type":[{"value":"1064-1246","type":"print"},{"value":"1875-8967","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019,10,4]]}}}