Abstract
Nowadays, wireless sensor networks (WSNs) have become a key area of research. Localization of sensor nodes in WSN is extremely important for transmission and reception of the data. Localization is used to determine the geographical location of the sensor nodes which is required in routing of data. In the present work, the existing DV-HOP algorithm which is a range-free localization algorithm has been studied and evaluated in terms of localization error. The localization error has been calculated by varying the number of unknown nodes, communication range, and the number of anchor nodes. All simulations have been performed in MATLAB.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Akyildiz, I.F., Su, W., Sankarasubramaninam, Y., Cayirci, E.: A survey on sensor networks. IEEE Commun. Mag. 40(8), 102–114 (2002)
Voltz, P.J., Hernandez, D.: Maximum likelihood time of arrival estimation for real-time physical location tracking of 802.1 1 a/g mobile stations in indoor environments ad-hoc positioning system. In: IEEE Conference, Position Location and Navigation Symposium (PLNS) (2004)
Kovavisarruch, L., Ho, K.C.: Alternate source and receiver location estimation using TDoA with receiver position uncertainties. In: IEEE Conference, ICASSP (2005)
Niculescu, D., Nath, B.: Ad hoc positioning system (APS) using AOA. In: IEEE Conference, INFOCOM (2003)
Kumar, P., Reddy, L., Varma, S.: Distance measurement and error estimation scheme for RSSI based localization in wireless sensor networks. In: IEEE Conference, Wireless Communication and Sensor Networks (WCSN) (2009)
He, T., Huang, C., Blum, B., Stankovic, J., Abdelzaher, T.: Range-free localization schemes for large scale sensor networks. In: MobiCom’ 03, pp. 81–95, ACM Press (2003)
Bulusu, N., Heidemann, J., Estrin, D.: GPS-less low cost outdoor localization for very small devices. IEEE Pers. Commun. Mag. 7(5), 28–34 (2000)
Niculescu, D., Nath, B.: DV based positioning in ad hoc networks. Telecommun. Syst. 22, 267–280 (2003)
Doherty, L., Pister, K.S., Ghaoui, L.E.: Convex position estimation in wireless sensor networks. In: IEEE Conference ICC’ 01, vol. 3, pp. 1655–1663 Anchorage, AK (2001)
Shang, Y., Ruml, W., Zhang, Y., Fromherz, M.: Localization from connectivity in sensor networks. IEEE Trans. Parallel Distrib. Syst. 15(10) (2004)
Gong, L., Sun J., Xu, W., Xu, Jian.: Research and simulation of node localization in WSN based on quantum particle swarm optimization. In: IEEE International Symposium on Distributed Computing and Application to Business, Engineering and Science (2012)
Chagas, H.S., Martins, J., Oliviera, L.: Genetic algorithms and simulated annealing optimization methods in wireless sensor networks localization using ANN. In: IEEE International Midwest Symposium on Circuit and Systems (2012)
Rahman, M.S., Park, Y., Kim, K.: Localization of wireless sensor networks using ANN. In: IEEE International Symposium on Communication and Information Technology (2009)
Katekaew, W., So-In, C., Rujirakul, K., Waikham, B.: H-FCD: hybrid fuzzy centroid & DV-hop localization algorithm in wireless sensor networks. In: IEEE International Conference on Intelligent System, Modeling and Simulation (2014)
Cui, H., Wang, Y., Liu, L.: Improvement of DV-HOP localization algorithm. In: IEEE International Conference on Modeling, Identification and Control (ICMIC) (2015)
Zhipeng, X., Chunwen, L., Huanyu, L.: An improved hop size estimation for DV-hop localization algorithm in wireless sensor networks. In: IEEE International Conference (CCDC) (2015)
Ji, W., Liu, Z.: An improvement of DV-hop algorithm in wireless sensor networks. In: IEEE International Conference, Wireless Communication, Networking and Mobile Computing (2006)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Gupta, V., Singh, B. (2018). Performance Evaluation of DV-HOP Localization Algorithm in Wireless Sensor Networks. In: Pant, M., Ray, K., Sharma, T., Rawat, S., Bandyopadhyay, A. (eds) Soft Computing: Theories and Applications. Advances in Intelligent Systems and Computing, vol 584. Springer, Singapore. https://doi.org/10.1007/978-981-10-5699-4_40
Download citation
DOI: https://doi.org/10.1007/978-981-10-5699-4_40
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-10-5698-7
Online ISBN: 978-981-10-5699-4
eBook Packages: EngineeringEngineering (R0)