A combined Mamdani-Sugeno fuzzy approach for localization in wireless sensor networks

Authors:
V. Kumar;A. Kumar;S. Soni
Affiliations:
National Institute of Technology, Hamirpur (H.P.)-India;National Institute of Technology, Hamirpur (H.P.)-India;National Institute of Technology, Hamirpur (H.P.)-India
Venue:
Proceedings of the International Conference & Workshop on Emerging Trends in Technology
Year:
2011

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Abstract

One of the fundamental problems in wireless sensor networks (WSNs) is localization that forms the basis for many location aware applications. Localization in WSNs is to determine the physical position of sensor node based on the known positions of several nodes. In this paper, a range free, enhanced weighted centroid localization method using edge weights of adjacent nodes is proposed. In the proposed method, first the adjacent reference (anchor) nodes which are connected to the node to be localized are found, and then the edge weights based on received signal strength indicator information (RSSI) using Mamdani and Sugeno fuzzy inference systems are calculated. After localizing the sensor node by weighted centroid formula using both the Mamdani and Sugeno fuzzy system, a combined approach to localize the node is employed. Finally, the proposed method is simulated to demonstrate the performance by comparing them with the simple centroid, individual Mamdani and Sugeno fuzzy method.