Title :
An efficient fuzzy localization approach in Wireless Sensor Networks
Author :
Parwekar, Pritee ; Reddy, Raghu
Author_Institution :
Jaypee Inst. of Inf. Technol., Noida, India
Abstract :
A successful node localization is of great importance to design efficient localization algorithms in Wireless Sensor Networks (WSNs). A proper node deployment can assist in routing, data fusion and communication in large scale ad hoc networks. Furthermore, it can extend the lifetime of WSNs by minimizing energy consumption. In this paper, we propose range-free localization using Fuzzy logic to achieve a more optimum solution. We model edge weights using Fuzzy logic system, which utilize the current value of Received Signal Strength Indicator (RSSI) and the Link Quality Indicator (LQI) from the anchor nodes for deciding location of sensor nodes. We have implemented our approach as a TinyOS module, and evaluated it through extensive TOSSIM simulations. Simulation results have shown promising results and demonstrate the effectiveness of the proposed approach.
Keywords :
ad hoc networks; fuzzy logic; sensor fusion; telecommunication computing; telecommunication network routing; wireless sensor networks; LQI; RSSI; TOSSIM simulations; TinyOS module; WSN; data fusion; energy consumption; fuzzy localization; fuzzy logic system; large scale ad hoc networks; link quality indicator; node deployment; node localization; range-free localization; received signal strength indicator; routing; wireless sensor networks; Algorithm design and analysis; Base stations; Fuzzy logic; Global Positioning System; Hardware; Noise; Wireless sensor networks; Fuzzy Logic; Link Quality Indicator; Received Signal Strength Indicator; Wireless Sensor Networks;
Conference_Titel :
Fuzzy Systems (FUZZ), 2013 IEEE International Conference on
Conference_Location :
Hyderabad
Print_ISBN :
978-1-4799-0020-6
DOI :
10.1109/FUZZ-IEEE.2013.6622548