Abstract
Wireless sensor networks are applied in a large number of applications. Indoor localization is drawing significant attention in recent years. This is due to the need of achieving high localization accuracy at a low power consumption. The existing localization protocols are classified into two main types, including range-free and range-based protocols. Cooja, which is the Contiki network simulator, is used to evaluate the performance of different localization protocols. It facilitates the simulation of Contiki motes in small and large networks. Moreover, it emulates the motes at the hardware level. In this paper, we evaluate the accuracy and power consumption performance of three known localization protocols, namely: fingerprint, centroid, and DV-Hop using Tmote sky in Cooja. This is the first time this study is conducted in Cooja. The results conform to the theory that fingerprint protocol has better performance than centroid and DV-Hop protocols in terms of localization accuracy. On the other hand, DV-hop and centroid protocols outperform fingerprint protocol in terms of stability and power consumption.
Similar content being viewed by others
References
Abusaimeh H, Yang S-H (2009). Reducing the transmission and reception powers in the AODV. Paper presented at the Networking, Sensing and Control, 2009. ICNSC’09. International Conference
Alhmiedat TA, Yang S (2009). Tracking multiple mobile targets based on ZigBee standard. In: Proceedings of the 35th Annual Conference of the IEEE Industrial Electronics Society
Alhmiedat T, Samara G, Salem AOA (2013) An indoor fingerprinting localization approach for ZigBee wireless sensor networks. arXiv preprint arXiv:1308.1809.
Antoine-Santoni T, Santucci J-F, De Gentili E, Silvani X, Morandini F (2009) Performance of a protected wireless sensor network in a fire. Analysis of fire spread and data transmission. Sensors 9(8): 5878–5893
Bagula B, Erasmus Z (2015) Iot emulation with cooja. Paper presented at the ICTP-IoT Workshop
Chen C-C, Chang C-Y, Li Y-N (2013) Range-free localization scheme in wireless sensor networks based on bilateration. Int J Distrib Sens Netw 2013
Cheng BH, Hudson RE, Lorenzelli F, Vandenberghe L, Yao K (2005) Distributed gauss-newton method for node loclaization in wireless sensor networks. Paper presented at the IEEE 6th Workshop on Signal Processing Advances in Wireless Communications
Dong Q, Xu X (2014) A novel weighted centroid localization algorithm based on RSSI for an outdoor environment. J Commun 9(3):279–285
Feng W-J, Bi X-W, Jiang R (2012) A novel adaptive cooperative location algorithm for wireless sensor networks. Int J Autom Comput 9(5):539–544
Ficco M (2014) Calibration-less indoor location systems based on wireless sensors. J Ambient Intell Human Comput 5(2):249–261
Gogolak L, Pletl S, Kukolj D (2011) Indoor fingerprint localization in WSN environment based on neural network. Paper presented at the 2011 IEEE 9th International Symposium on Intelligent Systems and Informatics
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
Hamdi M, Boudriga N, Obaidat MS (2008) WHOMoVeS: an optimized broadband sensor network for military vehicle tracking. Int J Commun Syst 21(3):277–300
Honma N, Ishii K, Tsunekawa Y, Minamizawa H, Miura A (2015) DOD-based localization technique using RSSI of indoor beacons. Paper presented at the 2015 International Symposium on Antennas and Propagation (ISAP)
Jia M, Sun J, Bao C (2016) Real-time multiple sound source localization and counting using a soundfield microphone. J Ambient Intell Human Comput 1–16
Kułakowski P, Vales-Alonso J, Egea-López E, Ludwin W, García-Haro J (2010) Angle-of-arrival localization based on antenna arrays for wireless sensor networks. Comput Electr Eng 36(6):1181–1186
Milioris D, Tzagkarakis G, Papakonstantinou A, Papadopouli M, Tsakalides P (2014) Low-dimensional signal-strength fingerprint-based positioning in wireless LANs. Ad hoc Netw 12:100–114
Schmitz J, Hernández M, Mathar R (2016) Real-time indoor localization with TDOA and distributed software defined radio: demonstration abstract. Paper presented at the Proceedings of the 15th International Conference on Information Processing in Sensor Networks
Shen X, Wang Z, Jiang P, Lin R, Sun Y (2005) Connectivity and RSSI based localization scheme for wireless sensor networks. Paper presented at the International Conference on Intelligent Computing
Smailagic A, Small J, Siewiorek DP (2000) Determining user location for context aware computing through the use of a wireless LAN infrastructure. Institute for Complex Engineered Systems Carnegie Mellon University, Pittsburgh, p 15213
Son B, Her Y-S, Kim J-G (2006) A design and implementation of forest-fires surveillance system based on wireless sensor networks for South Korea mountains. Int J Comput Sci Netw Secur IJCSNS 6(9):124–130
Taleb AA, Pradhan DK, Kocak T (2009) A technique to identify and substitute faulty nodes in wireless sensor networks. Paper presented at the Sensor Technologies and Applications, 2009. SENSORCOMM’09. Third International Conference
Zhang H, Seow CK, Tan SY (2016) Virtual reference device-based narrowband TOA localization using LOS and NLOS path. Paper presented at the 2016 IEEE/ION Position, Location and Navigation Symposium (PLANS)
Acknowledgements
The authors would also like to thank King Fahd University of Petroleum and Minerals and Acadia University for their support.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Sheltami, T.R., Shahra, E.Q. & Shakshuki, E.M. Perfomance comparison of three localization protocols in WSN using Cooja. J Ambient Intell Human Comput 8, 373–382 (2017). https://doi.org/10.1007/s12652-017-0451-2
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s12652-017-0451-2