Abstract
Wireless Sensor Network (WSN) is an arrangement of sensor nodes to collect environmental data and send it to Base Station (BS). The major application of the sensor networks is monitoring the physical environmental conditions. The WSN system plays a critical role to select the optimal location, distance, and degree of specific data communicating between WSN and BS. The optimally located sensor senses the data and sends it to the BS. The communicated data is in accordance with the location and its degrees of distance, both distributions in transmitting data to BS requires high energy requirement. Hence, the main challenge of WSN is to optimize the location and reduce the date communication cost. In this paper, we have put forward our try to comparison with optimization algorithm fuzzy logic control (FLC) with Adaptive Network-Based FLC Inference System (ANFIS) for localization of sensor nodes in WSN. To identify the best in optimization WSNs location by a degree of distance of each node also cost of the network analysis based proposed algorithms. The simulation has shown that the combined approach of ANFIS has better performance over current approaches in terms of security and accuracy.
This is a preview of subscription content, log in via an institution to check access.
Similar content being viewed by others
Change history
23 May 2022
This article has been retracted. Please see the Retraction Notice for more detail: https://doi.org/10.1007/s12652-022-03923-9
References
Alavi SA, Mehran K, Hao Y, Rahimian A, Mirsaeedi H, Vahidinasab V (2018) A distributed event-triggered control strategy for DC microgrids based on publish-subscribe model over industrial wireless sensor networks. IEEE Trans Smart Grid 10(4):4323–4337
Arora VK, Sharma V, Sachdeva M (2019) ACO optimized self-organized tree-based energy balance algorithm for wireless sensor network. J Ambient Intell Humaniz Comput 10(12):4963–4975
Faudoa I, Cota J, Madrazo BJM, Gonzalez R, Diaz J (2018) A distributed localization algorithm for wireless sensor networks based on robust statistic. IEEE Latin Am Trans 16(12):2977–2986
Guo JL, Chen YQ, Yang HD, Chen CM, Chen YC, Zhang H, Zhang Z (2019) Study on secrecy capacity of wireless sensor networks in internet of things based on the amplify-and-forward compressed sensing scheme. IEEE Access 7:185580–185589
Gupta SS, Mehta NB (2018) Revisiting effectiveness of energy conserving opportunistic transmission schemes in energy harvesting wireless sensor networks. IEEE Trans Commun 67(4):2968–2980
Khanduri P, Theagarajan LN, Varshney PK (2019) Online design of optimal precoders for high dimensional signal detection. IEEE Trans Signal Process 67(15):4122–4135
Kim TH, Goyat R, Rai MK, Kumar G, Buchanan WJ, Saha R, Thomas R (2019) A novel trust evaluation process for secure localization using a decentralized blockchain in wireless sensor networks. IEEE Access 7:184133–184144
Kulkarni PKH, Jesudason PM (2019) Multipath data transmission in WSN using exponential cat swarm and fuzzy optimisation. IET Commun 13(11):1685–1695
Kumar V, Bhusari R, Dhok SB, Prakash A, Tripathi R, Tiwari S (2018) Design of magnetic induction based energy-efficient WSNs for nonconventional media using multilayer transmitter-enabled novel energy model. IEEE Syst J 13(2):1285–1296
Osamy W, Khedr AM, Aziz A, El-Sawy AA (2018) Cluster-tree routing based entropy scheme for data gathering in wireless sensor networks. IEEE Access 6:77372–77387
Phoemphon S, So-In C, Leelathakul N (2018) Optimized hop angle relativity for DV-Hop localization in wireless sensor networks. IEEE Access 6:78149–78172
Qadir QM, Rashid TA, Al-Salihi NK, Ismael B, Kist AA, Zhang Z (2018) Low power wide area networks: a survey of enabling technologies, applications and interoperability needs. IEEE Access 6:77454–77473
Singh M, Soni SK (2019) Fuzzy based novel clustering technique by exploiting spatial correlation in wireless sensor network. J Ambient Intell Humaniz Comput 10(4):1361–1378
Ullah I, Chen J, Su X, Esposito C, Choi C (2019) Localization and detection of targets in underwater wireless sensor using distance and angle based algorithms. IEEE Access 7:45693–45704
Vinayakumar R, Alazab M, Soman KP, Poornachandran P, Al-Nemrat A, Venkatraman S (2019) Deep learning approach for intelligent intrusion detection system. IEEE Access 7:41525–41550
Wang C, Luo J, Zheng Y (2018) Optimal target tracking based on dynamic fingerprint in indoor wireless network. IEEE Access 6:77226–77239
Yan X, Sun L, Sun Z, Zhou J, Song A (2018) Improved hop-based localization algorithm for irregular networks. IET Commun 13(5):520–527
Yang G, Dai L, Wei Z (2018) Challenges, threats, security issues and new trends of underwater wireless sensor networks. Sensors 18(11):1–26
Yang G, Tay WP, Guan YL, Liang YC (2019) Optimal power allocation for diffusion-type sensor networks with wireless information and power transfer. IEEE Access 7:32408–32422
Zhan C, Xie T, Yang K, Ma H, Xie Y, Xu Y, Luo P (2018) Positioning optimisation based on particle quality prediction in wireless sensor networks. IET Netw 8(2):107–113
Zhang XT, Zhang JH, Hu Y, Dou CL (2019) Elevator speed control method based on wireless sensor network. J Eng 2019(22):8400–8403
Zhao Z, Shi D, Hui G, Zhang X (2019) An energy-optimization clustering routing protocol based on dynamic hierarchical clustering in 3D WSNs. IEEE Access 7:80159–80173
Author information
Authors and Affiliations
Corresponding author
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
This article has been retracted. Please see the retraction notice for more detail: https://doi.org/10.1007/s12652-022-03923-9"
About this article
Cite this article
Kavitha, V.P., Katiravan, J. RETRACTED ARTICLE: Localization approach of FLC and ANFIS technique for critical applications in wireless sensor networks. J Ambient Intell Human Comput 12, 4785–4795 (2021). https://doi.org/10.1007/s12652-020-01888-1
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s12652-020-01888-1