{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,2]],"date-time":"2026-05-02T00:49:46Z","timestamp":1777682986898,"version":"3.51.4"},"reference-count":35,"publisher":"SAGE Publications","issue":"3","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["JHS"],"published-print":{"date-parts":[[2024,8,2]]},"abstract":"<jats:p>Localization of WSN sensor nodes gains significance in order to grasp the idea for dead node replacement and re-establishing the network from data loss. In this research, the node localization and the position estimation of the dead nodes during routing are more effectively identified by the Felis bee localization protocol. The node localization is significant for effective communication and data transfer throughout the network with high signal strength. The developed approach assists in identifying the dead nodes and replaces them with less localization error thus, the signal strength of the receiver side is maximum. By utilizing the information on the exact position of the anchor nodes, the unknown location of the dead nodes is estimated by the Felis bee localization protocol. The Felis bee localization protocol enhances the potential of node localization concerning the energy, localization error, and multi-objective function, and attains the minimum RMSE as 0.566 at the 25th round, maximum RSSI as \u221247.925 dBm as well as the Energy at round 25 as 0.6517\u00a0J and the Throughput as 0.2952bps over the simulation area of 10\u00a0\u00d7 100. Further the established localization reaches the minimum RMSE as 0.673, the maximum Energy as 0.5141\u00a0J, maximum throughput as 0.5682,and the maximum RSSI as \u221253.911 dBm, at the 50th round over simulation area 200\u00a0\u00d7 200 and surpasses other conventional localization techniques.<\/jats:p>","DOI":"10.3233\/jhs-230131","type":"journal-article","created":{"date-parts":[[2024,4,26]],"date-time":"2024-04-26T14:07:55Z","timestamp":1714140475000},"page":"375-408","source":"Crossref","is-referenced-by-count":1,"title":["Felis bee optimization-based localization for energy-efficient communication in IoT-assisted WSN"],"prefix":"10.1177","volume":"30","author":[{"given":"Surabhi\u00a0Sushant","family":"Sawant","sequence":"first","affiliation":[{"name":"Electrical and Electronics Engineering Department, Sandip University, Trambakeshwar Road, Nashik, Maharashtra 422213, India"}]},{"given":"Jagdish\u00a0B.","family":"Helonde","sequence":"additional","affiliation":[{"name":"Electrical and Electronics Engineering, Sandip University, Trambakeshwar Road, Nashik, Maharashtra 422213, India"}]},{"given":"Prakash\u00a0G.","family":"Burade","sequence":"additional","affiliation":[{"name":"Electrical & Electronics Engineering, Sandip University, Trambakeshwar Road, Nashik, Maharashtra 422213, India"}]}],"member":"179","reference":[{"key":"10.3233\/JHS-230131_ref1","doi-asserted-by":"crossref","unstructured":"A.M.\u00a0Ahmed, T.A.\u00a0Rashid and S.A.M.\u00a0Saeed, Cat swarm optimization algorithm: A survey and performance evaluation, Computational intelligence and neuroscience 2020 (2020).","DOI":"10.36227\/techrxiv.11656458.v1"},{"issue":"4","key":"10.3233\/JHS-230131_ref2","doi-asserted-by":"publisher","first-page":"5691","DOI":"10.1007\/s11277-017-4803-1","article-title":"Bio-inspired distributed WSN localization based on chicken swarm optimization","volume":"97","author":"Al Shayokh","year":"2017","journal-title":"Wireless Personal Communications"},{"key":"10.3233\/JHS-230131_ref3","doi-asserted-by":"publisher","first-page":"132875","DOI":"10.1109\/ACCESS.2022.3230661","article-title":"Review on unmanned aerial vehicle assisted sensor node localization in wireless networks: Soft computing approaches","volume":"10","author":"Annepu","year":"2022","journal-title":"IEEE Access"},{"key":"10.3233\/JHS-230131_ref4","doi-asserted-by":"publisher","first-page":"228","DOI":"10.1016\/j.patrec.2016.12.010","article-title":"Multipurpose image watermarking in the domain of DWT based on SVD and ABC","volume":"94","author":"Ansari","year":"2017","journal-title":"Pattern Recognition Letters"},{"key":"10.3233\/JHS-230131_ref5","doi-asserted-by":"publisher","first-page":"96","DOI":"10.1016\/j.jnca.2017.03.008","article-title":"An energy-aware service composition algorithm for multiple cloud-based IoT applications","volume":"89","author":"Baker","year":"2017","journal-title":"Journal of Network and Computer Applications"},{"key":"10.3233\/JHS-230131_ref6","doi-asserted-by":"publisher","first-page":"33408","DOI":"10.1109\/ACCESS.2022.3162288","article-title":"Robustness enhanced sensor assisted Monte Carlo localization for wireless sensor networks and the Internet of Things","volume":"10","author":"Bochem","year":"2022","journal-title":"IEEE Access"},{"key":"10.3233\/JHS-230131_ref7","doi-asserted-by":"crossref","unstructured":"H.\u00a0Che, C.\u00a0Shi, X.\u00a0Xu, J.\u00a0Li and B.\u00a0Wu, Research on improved aco algorithm-based multi-robot odor source localization, in: 2018 2nd International Conference on Robotics and Automation Sciences (ICRAS), IEEE, 2018, pp. 1\u20135.","DOI":"10.1109\/ICRAS.2018.8443237"},{"key":"10.3233\/JHS-230131_ref8","doi-asserted-by":"crossref","unstructured":"M.\u00a0Fathi, M.\u00a0HaghiKashani, S.M.\u00a0Jameii and E.\u00a0Mahdipour, Big data analytics in weather forecasting: A systematic review, Archives of Computational Methods in Engineering (2021), early access.","DOI":"10.1007\/s11831-021-09616-4"},{"issue":"2","key":"10.3233\/JHS-230131_ref9","doi-asserted-by":"publisher","first-page":"1217","DOI":"10.1109\/TITS.2020.2964604","article-title":"GWO model for optimal localization of IoT-enabled sensor nodes in smart parking systems","volume":"22","author":"Ghorpade","year":"2020","journal-title":"IEEE Transactions on Intelligent Transportation Systems"},{"key":"10.3233\/JHS-230131_ref10","doi-asserted-by":"crossref","unstructured":"S.\u00a0Hachem, T.\u00a0Teixeira and V.\u00a0Issarny, Ontologies for the Internet of Things, in: Proceedings of the 8th Middleware Doctoral Symposium, ACM, 2011, p.\u00a03.","DOI":"10.1145\/2093190.2093193"},{"key":"10.3233\/JHS-230131_ref11","doi-asserted-by":"crossref","unstructured":"M.\u00a0HaghiKashani, M.\u00a0Madanipour, M.\u00a0Nikravan, P.\u00a0Asghari and E.\u00a0Mahdipour, A systematic review of IoT in healthcare: Applications, techniques, and trends, Journal of Network and Computer Applications (2021), early access.","DOI":"10.1016\/j.jnca.2021.103164"},{"key":"10.3233\/JHS-230131_ref12","doi-asserted-by":"publisher","first-page":"79980","DOI":"10.1109\/ACCESS.2019.2922971","article-title":"Secret sharing-based energy-aware and multi-hop routing protocol for IoT-based WSNs","volume":"7","author":"Haseeb","year":"2019","journal-title":"IEEE Access"},{"key":"10.3233\/JHS-230131_ref13","doi-asserted-by":"publisher","first-page":"443","DOI":"10.1016\/j.scs.2018.09.020","article-title":"A generic Internet of Things architecture for controlling electrical energy consumption in smart homes","volume":"43","author":"Iqbal","year":"2018","journal-title":"Sustainable Cities Soc."},{"issue":"8","key":"10.3233\/JHS-230131_ref14","doi-asserted-by":"publisher","first-page":"2481","DOI":"10.1007\/s11276-014-0761-7","article-title":"Security of the Internet of Things: Perspectives and challenges","volume":"20","author":"Jing","year":"2014","journal-title":"Wirel. Netw."},{"key":"10.3233\/JHS-230131_ref15","doi-asserted-by":"crossref","unstructured":"Y.\u00a0Karimi, M.\u00a0HaghiKashani, M.\u00a0Akbari and E.\u00a0Mahdipour, Leveraging big data in smart cities: A systematic review, Concurrency and computation: Practice and experience (2021), early access.","DOI":"10.1002\/cpe.6379"},{"key":"10.3233\/JHS-230131_ref16","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-94180-6_8"},{"key":"10.3233\/JHS-230131_ref17","doi-asserted-by":"crossref","unstructured":"H.A.\u00a0Khattak, M.\u00a0Ruta and E.\u00a0Di Sciascio, Coap-based healthcare sensor networks: A survey, in: Applied Sciences and Technology (IBCAST), 2014 11th International Bhurban Conference on, IEEE, 2014, pp.\u00a0499\u2013503.","DOI":"10.1109\/IBCAST.2014.6778196"},{"key":"10.3233\/JHS-230131_ref18","doi-asserted-by":"publisher","first-page":"144","DOI":"10.1016\/j.future.2019.04.038","article-title":"Perception layer security in Internet of Things","volume":"100","author":"Khattak","year":"2019","journal-title":"Future Generation Computer Systems"},{"key":"10.3233\/JHS-230131_ref19","doi-asserted-by":"publisher","first-page":"159","DOI":"10.1016\/j.future.2017.03.034","article-title":"Smart city and IoT","volume":"76","author":"Kim","year":"2017","journal-title":"Future Gener Comput Syst"},{"key":"10.3233\/JHS-230131_ref20","doi-asserted-by":"publisher","DOI":"10.1109\/INDIN.2014.6945586"},{"issue":"5","key":"10.3233\/JHS-230131_ref21","doi-asserted-by":"publisher","first-page":"1461","DOI":"10.1007\/s11276-015-1039-4","article-title":"Multi-objective fractional artificial bee colony algorithm to energy-aware routing protocol in wireless sensor network","volume":"22","author":"Kumar","year":"2016","journal-title":"Wireless Networks"},{"issue":"4","key":"10.3233\/JHS-230131_ref22","doi-asserted-by":"publisher","first-page":"522","DOI":"10.1049\/iet-com.2016.0859","article-title":"EACO and FABC to multi-path data transmission in wireless sensor networks","volume":"11","author":"Kumar","year":"2017","journal-title":"Iet Communications"},{"key":"10.3233\/JHS-230131_ref23","doi-asserted-by":"publisher","first-page":"32546","DOI":"10.1109\/ACCESS.2022.3157719","article-title":"Improved Chan algorithm based optimum UWB sensor node localization using hybrid particle swarm optimization","volume":"10","author":"Lakshmi","year":"2022","journal-title":"IEEE Access"},{"key":"10.3233\/JHS-230131_ref24","doi-asserted-by":"publisher","first-page":"144324","DOI":"10.1109\/ACCESS.2019.2945076","article-title":"A remote monitoring and diagnosis method based on four-layer IoT frame perception","volume":"7","author":"Li","year":"2019","journal-title":"IEEE Access"},{"key":"10.3233\/JHS-230131_ref25","doi-asserted-by":"publisher","first-page":"144324","DOI":"10.1109\/ACCESS.2019.2945076","article-title":"A remote monitoring and diagnosis method based on four-layer IoT frame perception","volume":"7","author":"Li","year":"2019","journal-title":"IEEE Access"},{"issue":"9","key":"10.3233\/JHS-230131_ref26","doi-asserted-by":"publisher","first-page":"11975","DOI":"10.1007\/s11227-022-04320-x","article-title":"Localization of sensor nodes in wireless sensor networks using bat optimization algorithm with enhanced exploration and exploitation characteristics","volume":"78","author":"Mohar","year":"2022","journal-title":"The Journal of Supercomputing"},{"key":"10.3233\/JHS-230131_ref27","first-page":"1","article-title":"GAPSO-SVM: An IDSS-based energy-aware clustering routing algorithm for the IoT perception layer","author":"Norouzi Shad","year":"2021","journal-title":"Wireless Personal Communications"},{"key":"10.3233\/JHS-230131_ref28","doi-asserted-by":"publisher","first-page":"143","DOI":"10.1016\/j.adhoc.2016.11.001","article-title":"Heterogeneous ad hoc networks: Architectures, advances and challenges","volume":"55","author":"Qiu","year":"2017","journal-title":"Ad Hoc Netw."},{"key":"10.3233\/JHS-230131_ref29","doi-asserted-by":"crossref","unstructured":"A.\u00a0Raheem, A.\u00a0Lasebae, M.\u00a0Aiash and J.\u00a0Loo, Supporting communications in the iots using the location\/id split protocol: A security analysis, in: Future Generation Communication Technology (FGCT), 2013 Second International Conference on, IEEE, 2013, pp.\u00a0143\u2013147.","DOI":"10.1109\/FGCT.2013.6767216"},{"key":"10.3233\/JHS-230131_ref30","doi-asserted-by":"publisher","first-page":"63966","DOI":"10.1109\/ACCESS.2021.3069455","article-title":"T2FL-PSO: Type-2 fuzzy logic-based particle swarm optimization algorithm used to maximize the lifetime of the Internet of Things","volume":"9","author":"Sennan","year":"2021","journal-title":"IEEE Access"},{"issue":"8","key":"10.3233\/JHS-230131_ref31","doi-asserted-by":"publisher","first-page":"2201","DOI":"10.1007\/s11276-014-0731-0","article-title":"Future Internet of Things: Open issues and challenges","volume":"20","author":"Tsai","year":"2014","journal-title":"Wirel. Netw."},{"key":"10.3233\/JHS-230131_ref32","doi-asserted-by":"publisher","first-page":"145667","DOI":"10.1109\/ACCESS.2019.2944669","article-title":"Clustering routing algorithm and simulation of Internet of Things perception layer based on energy balance","volume":"7","author":"Xu","year":"2019","journal-title":"IEEE Access"},{"issue":"5","key":"10.3233\/JHS-230131_ref33","doi-asserted-by":"publisher","first-page":"472","DOI":"10.1109\/JIOT.2014.2353629","article-title":"Dataclouds: Enabling community-based data-centric services over the Internet of Things","volume":"1","author":"Yue","year":"2014","journal-title":"IEEE Internet of Things Journal"},{"key":"10.3233\/JHS-230131_ref34","first-page":"1","article-title":"A novel energy-aware bio-inspired clustering scheme for IoT communication","author":"Zhang","year":"2020","journal-title":"Journal of Ambient Intelligence and Humanized Computing"},{"issue":"4","key":"10.3233\/JHS-230131_ref35","doi-asserted-by":"publisher","first-page":"745","DOI":"10.1109\/TSC.2019.2963301","article-title":"Security-critical energy-aware task scheduling for heterogeneous real-time MPSoCs in IoT","volume":"13","author":"Zhou","year":"2019","journal-title":"IEEE Transactions on Services Computing"}],"container-title":["Journal of High Speed Networks"],"original-title":[],"link":[{"URL":"https:\/\/content.iospress.com\/download?id=10.3233\/JHS-230131","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,4,29]],"date-time":"2026-04-29T08:44:39Z","timestamp":1777452279000},"score":1,"resource":{"primary":{"URL":"https:\/\/journals.sagepub.com\/doi\/full\/10.3233\/JHS-230131"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,8,2]]},"references-count":35,"journal-issue":{"issue":"3"},"URL":"https:\/\/doi.org\/10.3233\/jhs-230131","relation":{},"ISSN":["1875-8940","0926-6801"],"issn-type":[{"value":"1875-8940","type":"electronic"},{"value":"0926-6801","type":"print"}],"subject":[],"published":{"date-parts":[[2024,8,2]]}}}