{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,9]],"date-time":"2026-06-09T15:17:33Z","timestamp":1781018253580,"version":"3.54.1"},"reference-count":20,"publisher":"SAGE Publications","issue":"4","license":[{"start":{"date-parts":[[2017,3,29]],"date-time":"2017-03-29T00:00:00Z","timestamp":1490745600000},"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":[[2017,3,29]]},"abstract":"<jats:p>The lifetime of a Wireless Sensor Network (WSN) depends on the efficiency of the Cluster Head (CH) selection techniques that address most of the significant issues related to network management. The existing energy based CH selection mechanisms consider that all the participating sensors are trustworthy. Conversely, the trust-based CH selection schemes assume that the sensor nodes are energy efficient. But, these assumptions of energy factor or trust assessment made by the CH selection mechanisms may not be true and the Residual Energy (RE) of the sensors may not be the sole factor to identify an effective CH in a WSN. Hence, this paper presents hybrid integrated energy and trust assessment based forecasting model known as Hyper-geometric Energy Factor based Semi-Markov Prediction Mechanism (HEFSPM) for effective CH election so as to improve the lifetime of the network. From the simulation results, it is inferred that HEFSPM is superior in improving the lifetime of the network to a maximum extent of 22% than the existing CH election mechanisms considered for investigation.<\/jats:p>","DOI":"10.3233\/jifs-169254","type":"journal-article","created":{"date-parts":[[2017,3,31]],"date-time":"2017-03-31T18:23:19Z","timestamp":1490984599000},"page":"3111-3120","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":3,"title":["Hyper-geometric energy factor based semi-Markov prediction mechanism for effective cluster head election in WSNs"],"prefix":"10.1177","volume":"32","author":[{"given":"PL.","family":"Rajarajeswari","sequence":"first","affiliation":[{"name":"Department of Computer Science and Engineering, Sri Krishna College of Technology, Coimbatore, Tamil Nadu, India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"N.K.","family":"Karthikeyan","sequence":"additional","affiliation":[{"name":"Department of Information Technology, Karpagam College of Engineering, Coimbatore, Tamil Nadu, India"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"179","published-online":{"date-parts":[[2017,3,29]]},"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":"10.1016\/j.comnet.2008.04.002"},{"key":"e_1_3_1_4_2","doi-asserted-by":"publisher","DOI":"10.1166\/sl.2013.2671"},{"key":"e_1_3_1_5_2","doi-asserted-by":"publisher","DOI":"10.1109\/TNET.2007.900407"},{"issue":"9","key":"e_1_3_1_6_2","first-page":"2665","article-title":"Delay-dependent robust stability of uncertain TS fuzzy systems with Time-varying delay","volume":"5","author":"Wang Y.","year":"2009","unstructured":"WangY., GongC., SuB. and WangY., Delay-dependent robust stability of uncertain TS fuzzy systems with Time-varying delay, International Journal of Innovative Computing, Information and Control5(9) (2009), 2665\u20132674.","journal-title":"International Journal of Innovative Computing, Information and Control"},{"key":"e_1_3_1_7_2","first-page":"56","article-title":"Directed diffusion: A scalable and robust communication paradigm for sensor networks","author":"Intanagonwiwat C.","year":"2000","unstructured":"IntanagonwiwatC., GovindanR. and EstrinD., Directed diffusion: A scalable and robust communication paradigm for sensor networks, In Proceedings of the 6th annual International Conference on Mobile Computing and Networking ACM (2000), 56\u201367.","journal-title":"In Proceedings of the 6th annual International Conference on Mobile Computing and Networking ACM"},{"key":"e_1_3_1_8_2","first-page":"4341","article-title":"Trajectory planning for an unmanned ground vehicle group using augmented particle swarm optimization in a dynamic environment","author":"Wang Y.","year":"2009","unstructured":"WangY., ChenP. and JinY., Trajectory planning for an unmanned ground vehicle group using augmented particle swarm optimization in a dynamic environment, IEEE International Conference on Systems, Man and Cybernetics (SMC) (2009), 4341\u20134346.","journal-title":"IEEE International Conference on Systems, Man and Cybernetics (SMC)"},{"key":"e_1_3_1_9_2","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2006.04861"},{"key":"e_1_3_1_10_2","doi-asserted-by":"publisher","DOI":"10.1049\/iet-wss.2011.0074"},{"key":"e_1_3_1_11_2","first-page":"287","article-title":"An energy efficient cluster-head selection for wireless sensor networks","author":"Thein M.C.M.","year":"2010","unstructured":"TheinM.C.M. and TheinT., An energy efficient cluster-head selection for wireless sensor networks, IEEE international conference on Intelligent systems, modelling and simulation (ISMS) (2010), 287\u2013291.","journal-title":"IEEE international conference on Intelligent systems, modelling and simulation (ISMS)"},{"key":"e_1_3_1_12_2","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2004.41"},{"key":"e_1_3_1_13_2","first-page":"132","article-title":"An efficient cluster head selection approach for collaborative data processing in wireless sensor networks","author":"Qiang Y.","year":"2015","unstructured":"QiangY., PeiB., WeiW. and LiY., An efficient cluster head selection approach for collaborative data processing in wireless sensor networks, International Journal of Distributed Sensor Networks (2015), 132.","journal-title":"International Journal of Distributed Sensor Networks"},{"key":"e_1_3_1_14_2","first-page":"584","article-title":"Energy efficient cluster header selection algorithm in WSN","author":"Sim I.","year":"2009","unstructured":"SimI., ChoiK., KwonK. and LeeJ., Energy efficient cluster header selection algorithm in WSN. 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