Wireless sensor networks localization algorithm

Localization of sensor nodes in WSN in many different scenarios is becoming an important issue due to their widespread application. Different system parameters are changed in order to have a better performance. In this study are taken in consideration the simulation of the approaches of Hybrid algorithm but now with two more improvements brought to it. Based on simulations we understood the influence of dimensioning, so from 1D to 3D the localization efficiency will increase because at the 3D the reference nodes will interact in more directions, but also the convergence time will increase because of the network complexity. The aim is to reach a better time of network convergence, cluster's node localization, and a successful rate of localization.

[1]  Ali Broumandan,et al.  Performance of GNSS Time of Arrival Estimation Techniques in Multipath Environments , 2008 .

[2]  David R. Karger,et al.  A scalable location service for geographic ad hoc routing , 2000, MobiCom '00.

[3]  Azzedine Boukerche,et al.  An Efficient Directed Localization Recursion Protocol for Wireless Sensor Networks , 2009, IEEE Transactions on Computers.

[4]  Lei Wang,et al.  GPS-Free Localization Algorithm for Wireless Sensor Networks , 2010, Sensors.

[5]  Deborah Estrin,et al.  Computing aggregates for monitoring wireless sensor networks , 2003, Proceedings of the First IEEE International Workshop on Sensor Network Protocols and Applications, 2003..

[6]  Anurag Kumar,et al.  Time and energy complexity of distributed computation in wireless sensor networks , 2005, Proceedings IEEE 24th Annual Joint Conference of the IEEE Computer and Communications Societies..

[7]  Rong Peng,et al.  Angle of Arrival Localization for Wireless Sensor Networks , 2006, 2006 3rd Annual IEEE Communications Society on Sensor and Ad Hoc Communications and Networks.

[8]  Siarhei Smolau,et al.  Evaluation of the received signal strength indicator for node localization in wireless sensor networks , 2009 .

[9]  A. Mishra,et al.  A self-adaptive clustering based algorithm for increased energy-efficiency and scalability in wireless sensor networks , 2003, 2003 IEEE 58th Vehicular Technology Conference. VTC 2003-Fall (IEEE Cat. No.03CH37484).

[10]  Amitangshu Pal,et al.  Localization Algorithms in Wireless Sensor Networks: Current Approaches and Future Challenges , 2010, Netw. Protoc. Algorithms.

[11]  Miodrag Potkonjak,et al.  Smart kindergarten: sensor-based wireless networks for smart developmental problem-solving environments , 2001, MobiCom '01.

[12]  Deborah Estrin,et al.  Robust range estimation using acoustic and multimodal sensing , 2001, Proceedings 2001 IEEE/RSJ International Conference on Intelligent Robots and Systems. Expanding the Societal Role of Robotics in the the Next Millennium (Cat. No.01CH37180).

[13]  Ezmerina Kotobelli,et al.  Application of the localization algorithms in WSN , 2014, 2014 49th International Universities Power Engineering Conference (UPEC).