{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,19]],"date-time":"2026-02-19T15:52:56Z","timestamp":1771516376139,"version":"3.50.1"},"reference-count":33,"publisher":"MDPI AG","issue":"12","license":[{"start":{"date-parts":[[2022,11,28]],"date-time":"2022-11-28T00:00:00Z","timestamp":1669593600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Symmetry"],"abstract":"<jats:p>Wireless Sensor Networks (WSN) have distributed a collection of tiny sensor nodes deployed randomly in the given symmetry environment to sense natural phenomena. The sensed data are disseminated symmetrically to the control station using multi-hop communication. In WSN, the energy conservation during node coverage plays a major role in detecting node failure and providing efficient and symmetrical data transmission to the nodes of WSN. Using the cluster method and efficient localization techniques, the nodes are grouped and the precise location of the nodes is identified to establish the connection with the nearby nodes in the case of node failure. The location accuracy is achieved using the localization estimation of the anchor nodes and the nearest hop node distance estimation using the received signal strength measurement. The node optimization can be performed efficiently by the accurate estimation of the localization of the node. To optimize the node coverage and provide energy efficient and symmetrical localization among the nodes, in this paper, a cluster-based routing protocol and a novel bio-inspired algorithm, namely, Modified Bat for Node Optimization (MB\u2212NO), to localize and optimize the unknown nodes along with the reinforcement-based Q learning algorithm is proposed with the motive of increasing the accuracy estimation between anchor nodes and the other neighbor nodes, with the objective function to optimize and improve the nodes\u2019 coverage among the network\u2019s nodes in order to increase the nodes\u2019 localization accuracy. The distance metrics between the anchor nodes and other neighbor nodes have an estimated symmetry with three node positions, namely C-shape, S-shape and H-shape, using the Q learning algorithm. The proposed algorithm is implemented using the NS3 simulator. The simulation results show that the accuracy and precision of the proposed algorithm are achieved at 98% in the node coverage optimization with reduced Mean Localization Error (MLE) and computational process time compared with other bio-inspired algorithms, such as Artificial Bee Colony optimization and Genetic Algorithms.<\/jats:p>","DOI":"10.3390\/sym14122515","type":"journal-article","created":{"date-parts":[[2022,11,28]],"date-time":"2022-11-28T08:13:09Z","timestamp":1669623189000},"page":"2515","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":14,"title":["An Enhanced Localization Approach for Energy Conservation in Wireless Sensor Network with Q Deep Learning Algorithm"],"prefix":"10.3390","volume":"14","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6319-766X","authenticated-orcid":false,"given":"Sreeja","family":"Balachandran Nair Premakumari","sequence":"first","affiliation":[{"name":"Department of Information Technology, Karpagam College of Engineering, Coimbatore 641032, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9476-3142","authenticated-orcid":false,"given":"Prakash","family":"Mohan","sequence":"additional","affiliation":[{"name":"Department of Information Technology, Karpagam College of Engineering, Coimbatore 641032, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8606-7278","authenticated-orcid":false,"given":"Kannimuthu","family":"Subramanian","sequence":"additional","affiliation":[{"name":"Department of Information Technology, Karpagam College of Engineering, Coimbatore 641032, India"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2022,11,28]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"424","DOI":"10.1049\/iet-wss.2019.0072","article-title":"Join node selection, flow routing, and cell coverage optimization for network sum-rate maximization in wireless sensor networks","volume":"9","author":"Baidas","year":"2019","journal-title":"Wiley-IET Wirel. Sens. Syst."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"657","DOI":"10.1007\/s11277-015-2950-9","article-title":"Modified Bat Algorithm for Localization of Wireless Sensor Network","volume":"86","author":"Goyal","year":"2016","journal-title":"Wirel. Pers. Area Commun."},{"key":"ref_3","first-page":"399","article-title":"A Survey on Software-Defined Wireless Sensor Networks: Challenges and Design Requirements","volume":"38","author":"Kobo","year":"2017","journal-title":"Comput. Netw."},{"key":"ref_4","doi-asserted-by":"crossref","unstructured":"Kim, J., and Yoo, Y. (2020). Sensor Node Activation Using Bat Algorithm for Connected Target Coverage in WSNs. Sensors, 20.","DOI":"10.3390\/s20133733"},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"2292","DOI":"10.1109\/JCN.2019.000005","article-title":"Coverage protocol for wireless sensor network: Review and future direction","volume":"21","author":"Elhabyan","year":"2019","journal-title":"J. Commun. Netw."},{"key":"ref_6","first-page":"28940","article-title":"Deployment Techniques in Wireless Sensor Networks, Coverage and Connectivity: A Survey","volume":"5","author":"Farsi","year":"2019","journal-title":"Pervasive Mob. Comput."},{"key":"ref_7","first-page":"619","article-title":"Coverage and Connectivity in WSNs: A Survey, Research Issues and Challenge","volume":"35","author":"Tripathi","year":"2019","journal-title":"J. Netw. Comput. Appl."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"2120","DOI":"10.1109\/LCOMM.2018.2861766","article-title":"A Smart Bat Algorithm for Wireless Sensor Network Deployment in 3-D Environment","volume":"22","author":"Ng","year":"2018","journal-title":"IEEE Commun. Lett."},{"key":"ref_9","first-page":"1","article-title":"Diagnosis and combating COVID-19 using wearable Oura smart ring with deep learning methods","volume":"36","author":"Poongodi","year":"2021","journal-title":"Pers. Ubiquitous Comput."},{"key":"ref_10","unstructured":"Unaldi, N., and Temel, S. (2014, January 22\u201324). Wireless sensor deployment method on 3D environments to maximize quality of coverage and quality of network connectivity. Proceedings of the World Congress Engineering and Computer Science, San Francisco, CA, USA."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"7333","DOI":"10.1007\/s11227-020-03166-5","article-title":"Deployment techniques in wireless sensor networks: A survey, classification, challenges, and future research issues","volume":"76","author":"Priyadarshi","year":"2020","journal-title":"J. Supercomput."},{"key":"ref_12","first-page":"74129","article-title":"Energy Efficient Two-Tier Data Dissemination Based on Q-Learning for Wireless Sensor Networks","volume":"8","author":"Wang","year":"2020","journal-title":"Digit. Object Identifier"},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"129892","DOI":"10.1109\/ACCESS.2019.2939883","article-title":"Building reliable routing infrastructure for green IoT network","volume":"7","author":"Lenka","year":"2019","journal-title":"IEEE Access"},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"127639","DOI":"10.1109\/ACCESS.2019.2939938","article-title":"5G evolution: A view on 5G cellular technology beyond 3GPP release 15","volume":"7","author":"Ghosh","year":"2019","journal-title":"IEEE Access"},{"key":"ref_15","first-page":"11","article-title":"Fast Q-Learning for Improved Finite Length Performance of Irregular Repetition Slotted ALOHA","volume":"9","author":"Nisioti","year":"2020","journal-title":"J. Wirel. Mob. Netw. Ubiquitous Comput. Dependable Appl."},{"key":"ref_16","first-page":"41","article-title":"Security of 5G-mobile backhaul networks: A survey","volume":"9","author":"Choudhary","year":"2018","journal-title":"J. Wirel. Mob. Netw. Ubiquitous Comput. Dependable Appl."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"658","DOI":"10.1049\/cje.2019.03.013","article-title":"On Improved DV-Hop Localization Algorithm for Accurate Node Localization in Wireless Sensor Networks","volume":"28","author":"Shen","year":"2019","journal-title":"Chin. J. Electron."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"3712","DOI":"10.1007\/s11227-018-2727-5","article-title":"Hierarchical clustering and routing protocol to ensure scalability reliability in large-scale wireless sensor networks","volume":"75","author":"Singh","year":"2021","journal-title":"J. Supercomput."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"2835","DOI":"10.1007\/s11277-020-07823-z","article-title":"Optimized sensor nodes deployment in wireless sensor network using bat algorithm","volume":"116","author":"Mohar","year":"2021","journal-title":"Wirel. Pers. Commun."},{"key":"ref_20","unstructured":"Nieoleseu, D., and Nath, B. (April, January 30). Ad-Hoc positioning system-s(APS). Proceedings of the IEEE INFOCOM, San Antonio, CA, USA."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"183532","DOI":"10.1109\/ACCESS.2019.2960367","article-title":"DDoS detection mechanism using trust-based evaluation system in VANET","volume":"7","author":"Poongodi","year":"2019","journal-title":"IEEE Access"},{"key":"ref_22","first-page":"32890","article-title":"Numerical Improvement for the Mechanical Performance of Bikes Based on an Intelligent PSO-ABC Algorithm and WSN Technology","volume":"6","author":"Han","year":"2018","journal-title":"Digit. Object Identifier"},{"key":"ref_23","first-page":"63","article-title":"Evaluating the performance of density grid-based clustering using ABC technique for efficient routing in WSNs","volume":"67","author":"Sharma","year":"2018","journal-title":"Telecommun. Syst."},{"key":"ref_24","first-page":"4198","article-title":"A Noble Approach of ACO Algorithm for WSN","volume":"19","author":"Anwar","year":"2018","journal-title":"J. Vibroeng."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"158481","DOI":"10.1109\/ACCESS.2019.2945682","article-title":"Intrusion prevention system for DDoS attack on VANET With reCAPTCHA controller using information based metrics","volume":"7","author":"Poongodi","year":"2019","journal-title":"IEEE Access"},{"key":"ref_26","doi-asserted-by":"crossref","unstructured":"Mohar, S.S., Goyal, S., and Kaur, R. (2020). Fruit fly optimization algorithm for intelligent IoT applications. Emerging Trends and Role of Fog, Edge and Pervasive Computing in Intelligent IoT Driven Applications, John Wiley & Sons, Inc.","DOI":"10.1002\/9781119670087.ch16"},{"key":"ref_27","first-page":"109","article-title":"A secured cloud storage auditing with empirical outsourcing of key updates","volume":"11","author":"Vijayakumar","year":"2019","journal-title":"Int. J. Reason.-Based Intell. Syst."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"103042","DOI":"10.1016\/j.micpro.2020.103042","article-title":"Swaroopan, Smart methodology for performance improvement of energy sources for home application","volume":"74","author":"Sivagami","year":"2020","journal-title":"Microprocess. Microsyst."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"103371","DOI":"10.1016\/j.micpro.2020.103371","article-title":"Fuzzy Logic controlled Maximum Power Point Tracking for SEPIC converter fed DC drive\u2014A Hybrid Power Generation System","volume":"12","author":"Bharathi","year":"2020","journal-title":"Microprocess. Microsyst."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"10789","DOI":"10.1007\/s10586-017-1176-x","article-title":"Continuous security assessment of cloud based applications using distributed hashing algorithm inSDLC","volume":"22","author":"Vijayakumar","year":"2019","journal-title":"Clust. Comput."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"278","DOI":"10.1007\/s10916-019-1410-6","article-title":"Medicaldiagnosis of Cerebral Palsy Rehabilitation using eye images inMachine learning techniques","volume":"43","author":"Illavarason","year":"2019","journal-title":"J. Med. Syst."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"212","DOI":"10.1007\/s12046-020-01451-w","article-title":"Graph Based Event Measurement for Analyzing Distributed Anomalies in Sensor Networks","volume":"45","author":"Sherubha","year":"2020","journal-title":"Sadhana"},{"key":"ref_33","doi-asserted-by":"crossref","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":"J. Supercomput."}],"container-title":["Symmetry"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2073-8994\/14\/12\/2515\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T01:28:30Z","timestamp":1760146110000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2073-8994\/14\/12\/2515"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,11,28]]},"references-count":33,"journal-issue":{"issue":"12","published-online":{"date-parts":[[2022,12]]}},"alternative-id":["sym14122515"],"URL":"https:\/\/doi.org\/10.3390\/sym14122515","relation":{},"ISSN":["2073-8994"],"issn-type":[{"value":"2073-8994","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,11,28]]}}}