Abstract
In this paper, an Enhanced RSSI Tree Climbing (ERTC) technique is proposed to design a well-planned path based localization using virtual force of Mobile Anchor Node (MAN) in Wireless Sensor Network (WSN). The MAN is equipped with both Omni directional and directional antennae. Since an Omni directional antenna used for broadcasting the message and directional antenna is used for receiving the messages. This proposed technique is used to identify the trajectory of the MAN with the virtual force of unknown nodes in the network. Further, the circum center algorithm is used to identify the location of unknown sensor node. The proposed technique is implemented in the NS2 simulation. Simulation results shows that an ERTC achieves lower path length and better localization accuracy with the existing trajectories HILBERT space filling curve, Z trajectory, Swarm intelligence path planning techniques Grey wolf optimizer (GWPP) and Whale Optimizer based Path Planning (WOPP). The efficacy of node coverage in ERTC is compared with the Improved Virtual Force Algorithm (IVFA). The coverage analysis of ERTC shows better results by using virtual force of unknown node than IVFA.
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06 June 2022
This article has been retracted. Please see the Retraction Notice for more detail: https://doi.org/10.1007/s12652-022-04060-z
References
Almari A et al (2017) Swam intelligence optimization techniques for obstacle-avoidance mobility—assisted localization in wireless sensor networks. IEEE Access 6:1–19
Chang C-T et al (2012) Anchor guiding mechanism for beacon assisted localization in wireless sensor networks. IEEE Sens J 12:1–1
Erdemir E, Tuncer TE (2018) Path planning for mobile-anchor based wireless sensor network localization: static and dynamic schemes. Ad Hoc Netw. https://doi.org/10.1016/j.adhoc.2018.04.005
Guo Z et al (2010) Perpendicular intersection: locating wireless sensors with mobile beacon. IEEE Trans Veh Technol 59–7:3501–3509
Han G et al (2016) A survey on mobile anchor node assisted localization in wireless sensor networks. IEEE Commun Surv Tutor 8–3:2220–2243
Huang R, Zaruba G (2007) Static path planning for mobile beacons to localize sensor networks. In: Proceedings of 5th annual IEEE international conference pervasive, computer communication workshops, pp 323–330.
Hu W, H Qin, H Huang (2008a) A mobile beacon based method for wireless sensor networks localization. In: IEEE international conference on communication technology proceedings, pp 144–147
Hu Z, Gu D, Song Z, Li H (2008b) Localization in wireless sensor networks using a mobile anchor node. In: Proceedings of IEEE/ASME international conference on advanced intelligent mechatronics, pp 602–607.
Jebachristy A, Thilagavathi P (2016) Dynamic improved path planning in wireless sensor network. Preced Comput Sci 92:38–388
Koutsonikolas D, Das SM, Hu YC (2007) Path planning of mobile landmarks for localization in wireless sensor networks. Comput Commun 30–13:2577–2592
Li H, Bu Y et al (2009) Path planning for mobile anchor node in localization for wireless sensor network. J Comput Res Dev 46(1):129–136
Mao G, Fidan B, Anderson BDO (2007) Wireless sensor network localization techniques. Comput Netw 51–10:2529–2553
Ou H, He WL (2013) Path planning algorithm for mobile anchor-based localization in wireless sensor networks. IEEE Sens J 13–2:466–475
Qin F, Wei C et al. (2010) Study on mobile beacon trajectory for node localization in wireless sensor networks. In: Proceedings of IEEE International conference of information and automation, pp 1577–1581.
Rezazadeh J et al (2014) Superior path planning Mechanism for mobile Beacon assisted localization in wireless sensor networks. IEEE Sens J 14–9:3052–3063
Shu J, Liu L, Chen Y, Hu H (2008) A novel three-dimensional localization algorithm in wireless sensor networks. Wirel Commun Netw Mobile Comput. https://doi.org/10.1109/WiCom.2008.945
Sichitiu M, Ramadurai V (2004) Localization of wireless sensor networks with a mobile beacon. In: Proceedings of IEEE international conference mobile on ad-hoc sensor systems, pp 174–183.
Ssu K-F et al (2005) Localization with mobile anchor points in wireless sensor networks. IEEE Trans Veh Technol 54–3:1187–1197
Thilagavathi P, Manickam JML (2016) RSSI based tree climbing mechanism for dynamic path planning in WSN. CIC 14:44–48
Wen J-H, Yang C-C (2014) Performance of hybrid virtual force algorithms on mobile deployment in wireless sensor networks. WSEAS Trans Commun 13:558–566
Xie J et al (2019) A sensor deployment approach using improved virtual force algorithm based on area intensity for multisensory networks. Math Probl Eng 209:1–9
Younis M, Akkaya K (2008) Strategies and techniques for node placement in wireless sensor network: a survey. Adhoc Netw 6–4:621–655
Zhang J, Yin J, Xu T et al (2020) The optimal game model of energy consumption for nodes cooperation in WSN. J Ambient Intell Human Comput 11:589–599. https://doi.org/10.1007/s12652-018-1128-1
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This article has been retracted. Please see the retraction notice for more detail: https://doi.org/10.1007/s12652-022-04060-z
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Thilagavathi, P., Manickam, J.M.L. RETRACTED ARTICLE: ERTC: an Enhanced RSSI based Tree Climbing mechanism for well-planned path localization in WSN using the virtual force of Mobile Anchor Node. J Ambient Intell Human Comput 12, 6665–6676 (2021). https://doi.org/10.1007/s12652-020-02286-3
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DOI: https://doi.org/10.1007/s12652-020-02286-3