Abstract
Wireless sensor network (WSN) is usually deployed in harsh environments for collecting and delivering the data to the remotely located base station. Due to the recent achievements in WSN, tiny and expensive sensors are used with capability of sensing large information and to propagate over longer distances. In range-based localization algorithms, anchor node whose location is known plays an important role. In order to resolve the challenges of traditional localization algorithms, an anchor-based node localization algorithm is proposed for WSN. The distance between anchor or known node and unknown node is measured by optimizing anchors and creating database of optimized anchors. Using trilateration method unknown nodes are located and are used as new anchors which will reduce localization algorithm’s dependency on anchors. The objective of the proposed work is to maximize the life time of the network by minimizing the energy consumption. From the simulation results, we show that the proposed algorithm increases lifetime of wireless sensor network.
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References
Kuhn JP (2004) Location-based services in mobile communication infrastructures. AEU Int J Electron Commun 58(3):159–164
Roxin , Gaber J, Wack M, Nait-Sidi-Moh A (2007) Survey of Wireless Geolocation Techniques. In: 2007 IEEE globecom workshops. Washington, DC, pp 1–9
Dragos N, Badrinath BR (2003) Ad hoc positioning system (APS) using AOA. In: IEEE INFOCOM 22nd annual joint conference of the IEEE computer and communications societies, vol 3, pp 1734–1743
Navas JC, Imielinski T (1997) GeoCast-geographic addressing and routing. In: Proceedings of the 3rd annual ACM/IEEE international conference on mobile computing and networking (MobiCom’97), ACM, New York, pp 66–76
Ko Y-B, Vaidya NH (2000) Location-aided routing (LAR) in mobile ad hoc networks. J Wirel Netw 6(4):307–321
Basagni S, Chlamtac I, Syrotiuk VR, Woodward BA (1998) A distance routing effect algorithm for mobility (DREAM). In: Proceedings of the 4th annual ACM/IEEE international conference on mobile computing and networking (MobiCom’98). New York, USA, pp 76–84
Kori GS, Chanal PM, Kakkasageri MS, Shirbur AA (2017) Energy aware multipath routing scheme for wireless sensor networks. In: Proceedings of the 7th IEEE international advance computing conference. Hyderabad
Karp B, Kung HT (2000) GPSR: greedy perimeter stateless routing for wireless networks. In: Proceedings of the 6th annual international conference on mobile computing and networking (MobiCom’00), ACM, pp 243–254
Alrajeh NA, Bashir M, Shams B (2013) Localization techniques in wireless sensor networks. Int J Distrib Sens Netw 9(6)
Singh SP, Sharma SC (2015) Range free localization techniques in wireless sensor networks: a review. Procedia Comput Sci 57:7–16
Gui L, Val T, Wei A, Dalce R (2015) Improvement of range-free localization technology by a novel DV-hop protocol in wireless sensor networks. Ad Hoc Netw 24:55–73
Tomic S, Beko M, Dinis R, Montezuma P (2017) Distributed algorithm for target localization in wireless sensor networks using RSS and AoA measurements. Pervasive Mob Comput 37:63–77
Chelouah L, Semchedine F, Bouallouche-Medjkoune L (2018) Localization protocols for mobile wireless sensor networks: a survey. Comput Electr Eng 71:733–751
Sharma G, Kumar A (2018) Modified energy-efficient range-free localization us-ing teaching-learning-based optimization for wireless sensor networks. IETE J Res 64(1):124–138
Rappaport TS (2009) Wireless communications: principles and practice. 2nd edn, Prentice Hall PTR
Kurt S, Tavli B (2017) Path-loss modeling for wireless sensor networks: a review of models and comparative evaluations. IEEE Antennas Propag Mag 59(1):18–37
Klaina H, Vazquez Alejos A, Aghzout O, Falcone F. Narrowband characterization of near-ground radio channel for wireless sensors networks at 5G-IoT bands. Sensors (Basel) 18(1)
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Angadi, B.M., Kakkasageri, M.S. (2021). Anchor-Based Effective Node Localization Algorithm for Wireless Sensor Networks. In: Gunjan, V.K., Zurada, J.M. (eds) Proceedings of International Conference on Recent Trends in Machine Learning, IoT, Smart Cities and Applications. Advances in Intelligent Systems and Computing, vol 1245. Springer, Singapore. https://doi.org/10.1007/978-981-15-7234-0_43
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DOI: https://doi.org/10.1007/978-981-15-7234-0_43
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