{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,20]],"date-time":"2026-03-20T20:09:24Z","timestamp":1774037364180,"version":"3.50.1"},"reference-count":34,"publisher":"Springer Science and Business Media LLC","issue":"4","license":[{"start":{"date-parts":[[2021,4,29]],"date-time":"2021-04-29T00:00:00Z","timestamp":1619654400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2021,4,29]],"date-time":"2021-04-29T00:00:00Z","timestamp":1619654400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Wireless Netw"],"published-print":{"date-parts":[[2021,5]]},"DOI":"10.1007\/s11276-021-02630-1","type":"journal-article","created":{"date-parts":[[2021,4,29]],"date-time":"2021-04-29T07:03:20Z","timestamp":1619679800000},"page":"2961-2976","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":30,"title":["Rendezvous points based energy-aware routing using hybrid neural network for mobile sink in wireless sensor networks"],"prefix":"10.1007","volume":"27","author":[{"given":"Chaya Shivalinge","family":"Gowda","sequence":"first","affiliation":[]},{"given":"P. V. Y.","family":"Jayasree","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2021,4,29]]},"reference":[{"key":"2630_CR1","doi-asserted-by":"publisher","first-page":"133","DOI":"10.1016\/j.compind.2019.01.004","volume":"106","author":"A Alarifi","year":"2019","unstructured":"Alarifi, A., & Tolba, A. (2019). Optimizing the network energy of cloud assisted internet of things by using the adaptive neural learning approach in wireless sensor networks. Computers in Industry, 106, 133\u2013141","journal-title":"Computers in Industry"},{"issue":"3","key":"2630_CR2","doi-asserted-by":"publisher","first-page":"5132","DOI":"10.1109\/JIOT.2019.2897119","volume":"6","author":"TM Behera","year":"2019","unstructured":"Behera, T. M., Mohapatra, S. K., Samal, U. C., Khan, M. S., Daneshmand, M., & Gandomi, A. H. (2019). Residual energy-based cluster-head selection in WSNs for IoT application. IEEE Internet of Things Journal, 6(3), 5132\u20135139","journal-title":"IEEE Internet of Things Journal"},{"key":"2630_CR3","doi-asserted-by":"publisher","first-page":"33","DOI":"10.1016\/j.comnet.2019.05.019","volume":"160","author":"M Krishnan","year":"2019","unstructured":"Krishnan, M., Yun, S., & Jung, Y. M. (2019). Enhanced clustering and ACO-based multiple mobile sinks for efficiency improvement of wireless sensor networks. Computer Networks, 160, 33\u201340","journal-title":"Computer Networks"},{"issue":"4","key":"2630_CR4","doi-asserted-by":"publisher","first-page":"2439","DOI":"10.1007\/s11277-020-07158-9","volume":"112","author":"RS Raghav","year":"2020","unstructured":"Raghav, R. S., Thirugnansambandam, K., & Anguraj, D. K. (2020). Beeware routing scheme for detecting network layer attacks in wireless sensor networks. Wireless Personal Communications, 112(4), 2439\u20132459","journal-title":"Wireless Personal Communications"},{"issue":"4","key":"2630_CR5","doi-asserted-by":"publisher","first-page":"248","DOI":"10.1504\/IJSNET.2017.083533","volume":"23","author":"J Zhang","year":"2017","unstructured":"Zhang, J., Tang, J., Wang, T., & Chen, F. (2017). Energy-efficient data-gathering rendezvous algorithms with mobile sinks for wireless sensor networks. International Journal of Sensor Networks, 23(4), 248\u2013257","journal-title":"International Journal of Sensor Networks"},{"issue":"3\u20136","key":"2630_CR6","first-page":"79","volume":"9","author":"H Kumar","year":"2017","unstructured":"Kumar, H., & Singh, P. K. (2017). Node energy based approach to improve network lifetime and throughput in wireless sensor networks. Journal of Telecommunication, Electronic and Computer Engineering (JTEC), 9(3\u20136), 79\u201388","journal-title":"Journal of Telecommunication, Electronic and Computer Engineering (JTEC)"},{"key":"2630_CR7","doi-asserted-by":"publisher","first-page":"154","DOI":"10.1016\/j.asoc.2019.03.025","volume":"80","author":"KA Darabkh","year":"2019","unstructured":"Darabkh, K. A., Odetallah, S. M., Al-qudah, Z., Ala\u2019F, K., & Shurman, M. M. (2019). Energy-aware and density-based clustering and relaying protocol (EA-DB-CRP) for gathering data in wireless sensor networks. Applied Soft Computing, 80, 154\u2013166","journal-title":"Applied Soft Computing"},{"issue":"5","key":"2630_CR8","doi-asserted-by":"publisher","first-page":"e01591","DOI":"10.1016\/j.heliyon.2019.e01591","volume":"5","author":"LK Ketshabetswe","year":"2019","unstructured":"Ketshabetswe, L. K., Zungeru, A. M., Mangwala, M., Chuma, J. M., & Sigweni, B. (2019). Communication protocols for wireless sensor networks: A survey and comparison. Heliyon, 5(5), e01591","journal-title":"Heliyon"},{"key":"2630_CR9","doi-asserted-by":"publisher","first-page":"647","DOI":"10.1016\/j.energy.2016.08.012","volume":"114","author":"C Gherbi","year":"2016","unstructured":"Gherbi, C., Aliouat, Z., & Benmohammed, M. (2016). An adaptive clustering approach to dynamic load balancing and energy efficiency in wireless sensor networks. Energy, 114, 647\u2013662","journal-title":"Energy"},{"issue":"3","key":"2630_CR10","doi-asserted-by":"publisher","first-page":"451","DOI":"10.1007\/s11235-017-0348-6","volume":"67","author":"L Kong","year":"2018","unstructured":"Kong, L., Pan, J. S., Sn\u00e1\u0161el, V., Tsai, P. W., & Sung, T. W. (2018). An energy-aware routing protocol for wireless sensor network based on genetic algorithm. Telecommunications Systems, 67(3), 451\u2013463","journal-title":"Telecommunications Systems"},{"issue":"3","key":"2630_CR11","doi-asserted-by":"publisher","first-page":"484","DOI":"10.1007\/s12083-016-0496-6","volume":"10","author":"C Zhu","year":"2017","unstructured":"Zhu, C., Han, G., & Zhang, H. (2017). A honeycomb structure based data gathering scheme with a mobile sink for wireless sensor networks. Peer-to-Peer Networking and Applications, 10(3), 484\u2013499","journal-title":"Peer-to-Peer Networking and Applications"},{"issue":"13","key":"2630_CR12","doi-asserted-by":"publisher","first-page":"3668","DOI":"10.3390\/s20133668","volume":"20","author":"Y Son","year":"2020","unstructured":"Son, Y., Kang, M., Kim, Y., Yoon, I., & Noh, D. K. (2020). Energy\u2014efficient cluster management using a mobile charger for solar-powered wireless sensor networks. Sensors, 20(13), 3668","journal-title":"Sensors"},{"issue":"2","key":"2630_CR13","doi-asserted-by":"publisher","first-page":"2037","DOI":"10.1007\/s11277-017-4962-0","volume":"98","author":"B Bhushan","year":"2018","unstructured":"Bhushan, B., & Sahoo, G. (2018). Recent advances in attacks, technical challenges, vulnerabilities and their countermeasures in wireless sensor networks. Wireless Personal Communications, 98(2), 2037\u20132077","journal-title":"Wireless Personal Communications"},{"issue":"20","key":"2630_CR14","doi-asserted-by":"publisher","first-page":"7545","DOI":"10.1109\/JSEN.2016.2601327","volume":"16","author":"JY Chang","year":"2016","unstructured":"Chang, J. Y., & Shen, T. H. (2016). An efficient tree-based power saving scheme for wireless sensor networks with mobile sink. IEEE Sensors Journal, 16(20), 7545\u20137557","journal-title":"IEEE Sensors Journal"},{"issue":"19","key":"2630_CR15","first-page":"1","volume":"6","author":"M Nguyen","year":"2019","unstructured":"Nguyen, M., Nguyen, H., Masaracchia, A., & Nguyen, C. (2019). Stochastic-based power consumption analysis for data transmission in wireless sensor networks. EAI Endorsed Transactions on Industrial Networks Intelligent Systems, 6(19), 1\u201311","journal-title":"EAI Endorsed Transactions on Industrial Networks Intelligent Systems"},{"issue":"2","key":"2630_CR16","doi-asserted-by":"publisher","first-page":"890348","DOI":"10.1155\/2015\/890348","volume":"11","author":"AW Khan","year":"2015","unstructured":"Khan, A. W., Abdullah, A. H., Razzaque, M. A., Bangash, J. I., & Altameem, A. (2015). VGDD: a virtual grid based data dissemination scheme for wireless sensor networks with mobile sink. International Journal of Distributed Sensor Networks, 11(2), 890348","journal-title":"International Journal of Distributed Sensor Networks"},{"key":"2630_CR17","doi-asserted-by":"crossref","unstructured":"Lin, Y.C., & Zhong, J.H. (2012). Hilbert-chain topology for energy conservation in large-scale wireless sensor networks. In: 2012 9th International conference on ubiquitous intelligence and computing and 9th International conference on autonomic and trusted computing, IEEE, pp. 225\u2013232.","DOI":"10.1109\/UIC-ATC.2012.37"},{"issue":"5","key":"2630_CR18","doi-asserted-by":"publisher","first-page":"2953","DOI":"10.1007\/s11276-019-02015-5","volume":"25","author":"S Vahabi","year":"2019","unstructured":"Vahabi, S., Eslaminejad, M., & Dashti, S. E. (2019). Integration of geographic and hierarchical routing protocols for energy saving in wireless sensor networks with mobile sink. Wireless Networks, 25(5), 2953\u20132961","journal-title":"Wireless Networks"},{"key":"2630_CR19","doi-asserted-by":"crossref","unstructured":"Somauroo, A., & Bassoo, V. (2019). Energy-efficient genetic algorithm variants of PEGASIS for 3D wireless sensor networks. Appl Comput Inform.","DOI":"10.1016\/j.aci.2019.07.002"},{"key":"2630_CR20","doi-asserted-by":"crossref","unstructured":"Chaya, S., Jayasree, P.V.Y., Kumar, S., Sah, D.K. (2018). Boolean directional sensor orientation solution for K-coverage in wireless sensor network. In: 2018 4th International Conference on Recent Advances in Information Technology (RAIT) IEEE, pp. 1\u20136.","DOI":"10.1109\/RAIT.2018.8389090"},{"issue":"2","key":"2630_CR21","doi-asserted-by":"publisher","first-page":"2835","DOI":"10.1007\/s12652-020-02442-9","volume":"12","author":"C Shivalingegowda","year":"2021","unstructured":"Shivalingegowda, C., & Jayasree, P. V. Y. (2021). Hybrid gravitational search algorithm based model for optimizing coverage and connectivity in wireless sensor networks. Journal of Ambient Intelligence and Humanized Computing, 12(2), 2835\u20132848","journal-title":"Journal of Ambient Intelligence and Humanized Computing"},{"issue":"5","key":"2630_CR22","first-page":"1929","volume":"14","author":"C Shivalingagowda","year":"2020","unstructured":"Shivalingagowda, C., Jayasree, P. V. Y., & Sah, D. K. (2020). Efficient Energy and Position Aware Routing Protocol for Wireless Sensor Networks. KSII Transactions on Internet and Information Systems (TIIS), 14(5), 1929\u20131950","journal-title":"KSII Transactions on Internet and Information Systems (TIIS)"},{"issue":"1","key":"2630_CR23","doi-asserted-by":"publisher","first-page":"189","DOI":"10.1007\/s11277-019-06559-9","volume":"109","author":"S Chowdhury","year":"2019","unstructured":"Chowdhury, S., & Giri, C. (2019). EETC: Energy efficient tree-clustering in delay constrained wireless sensor network. Wireless Personal Communications, 109(1), 189\u2013210","journal-title":"Wireless Personal Communications"},{"issue":"4","key":"2630_CR24","doi-asserted-by":"publisher","first-page":"2639","DOI":"10.1007\/s11276-019-02022-6","volume":"26","author":"A Mehto","year":"2020","unstructured":"Mehto, A., Tapaswi, S., & Pattanaik, K. K. (2020). A review on rendezvous based data acquisition methods in wireless sensor networks with mobile sink. Wireless Networks, 26(4), 2639\u20132663","journal-title":"Wireless Networks"},{"issue":"6","key":"2630_CR25","doi-asserted-by":"publisher","first-page":"2011","DOI":"10.1007\/s12083-019-00798-0","volume":"13","author":"SKSL Preeth","year":"2020","unstructured":"Preeth, S. K. S. L., Dhanalakshmi, R., & Shakeel, P. M. (2020). An intelligent approach for energy efficient trajectory design for mobile sink based IoT supported wireless sensor networks. Peer-to-Peer Networking and Applications, 13(6), 2011\u20132022","journal-title":"Peer-to-Peer Networking and Applications"},{"issue":"1","key":"2630_CR26","doi-asserted-by":"publisher","first-page":"199","DOI":"10.1007\/s11277-018-6015-8","volume":"104","author":"S Tabibi","year":"2019","unstructured":"Tabibi, S., & Ghaffari, A. (2019). Energy-efficient routing mechanism for mobile sink in wireless sensor networks using particle swarm optimization algorithm. Wireless Personal Communications, 104(1), 199\u2013216","journal-title":"Wireless Personal Communications"},{"key":"2630_CR27","doi-asserted-by":"publisher","first-page":"110","DOI":"10.1016\/j.aeue.2016.12.005","volume":"73","author":"A Kaswan","year":"2017","unstructured":"Kaswan, A., Nitesh, K., & Jana, P. K. (2017). Energy efficient path selection for mobile sink and data gathering in wireless sensor networks. AEU-International Journal of Electronics and Communications, 73, 110\u2013118","journal-title":"AEU-International Journal of Electronics and Communications"},{"key":"2630_CR28","doi-asserted-by":"crossref","unstructured":"Anwit, R., & Jana, P.K. (2020). An Efficient Clustering based Data Collection using Mobile Sink in Wireless Sensor Networks. In: Proceedings of the 21st International Conference on Distributed Computing and Networking, pp. 1\u20135.","DOI":"10.1145\/3369740.3369769"},{"key":"2630_CR29","first-page":"100377","volume":"25","author":"M Naghibi","year":"2020","unstructured":"Naghibi, M., & Barati, H. (2020). EGRPM: Energy efficient geographic routing protocol based on mobile sink in wireless sensor networks. Sustain Computing: Informatics and Systems, 25, 100377","journal-title":"Sustain Computing: Informatics and Systems"},{"key":"2630_CR30","doi-asserted-by":"crossref","unstructured":"Mishra, M., Nitesh, K., Jana, P.K. (2016). A delay-bound efficient path design algorithm for mobile sink in wireless sensor networks. In: 2016 3rd international conference on recent advances in information technology (RAIT), IEEE, pp. 72\u201377.","DOI":"10.1109\/RAIT.2016.7507878"},{"key":"2630_CR31","doi-asserted-by":"publisher","first-page":"102","DOI":"10.1016\/j.neucom.2019.03.055","volume":"350","author":"Y Du","year":"2019","unstructured":"Du, Y., Sun, B., Lu, R., Zhang, C., & Wu, H. (2019). A method for detecting high-frequency oscillations using semi-supervised k-means and mean shift clustering. Neurocomputing, 350, 102\u2013107","journal-title":"Neurocomputing"},{"key":"2630_CR32","doi-asserted-by":"crossref","unstructured":"Alsattar, H.A., Zaidan, A.A and Zaidan, B.B. (2019). Novel meta-heuristic bald eagle search optimisation algorithm. Artificial Intelligence Review, pp. 1\u201328.","DOI":"10.1007\/s10462-019-09732-5"},{"key":"2630_CR33","doi-asserted-by":"publisher","first-page":"113246","DOI":"10.1016\/j.eswa.2020.113246","volume":"148","author":"Y Zhang","year":"2020","unstructured":"Zhang, Y., & Jin, Z. (2020). Group teaching optimization algorithm: A novel metaheuristic method for solving global optimization problems. Expert Systems with Applications, 148, 113246","journal-title":"Expert Systems with Applications"},{"key":"2630_CR34","doi-asserted-by":"crossref","first-page":"e4692","DOI":"10.1002\/dac.4692","volume":"34","author":"AR Aravind","year":"2020","unstructured":"Aravind, A. R., & Chakravarthi, R. (2020). Fractional rider optimization algorithm for the optimal placement of the mobile sinks in wireless sensor networks. International Journal of Communication Systems, 34, e4692","journal-title":"International Journal of Communication Systems"}],"container-title":["Wireless Networks"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11276-021-02630-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11276-021-02630-1\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11276-021-02630-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,11,2]],"date-time":"2023-11-02T23:20:35Z","timestamp":1698967235000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11276-021-02630-1"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,4,29]]},"references-count":34,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2021,5]]}},"alternative-id":["2630"],"URL":"https:\/\/doi.org\/10.1007\/s11276-021-02630-1","relation":{},"ISSN":["1022-0038","1572-8196"],"issn-type":[{"value":"1022-0038","type":"print"},{"value":"1572-8196","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,4,29]]},"assertion":[{"value":"16 April 2021","order":1,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"29 April 2021","order":2,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}