Abstract
Mobile anchor path planning techniques have provided as an alternative option for node localization in wireless sensor networks (WSNs). In such context, path planning is a movement pattern where a mobile anchor node’s movement is designed in order to achieve a maximum localization ratio possible with a minimum error rate. Typically, the mobility path planning is designed in advance, which is applicable when the mobile anchor has sufficient sources of energy and time. However, when the mobility movement is restricted or limited, a dynamic path planning design is needed. This paper proposes a novel distributed range-free movement mechanism for mobility-assisted localization in WSNs when the mobile anchor’s movement is limited. The designed movement is formed in real-time pattern using a fuzzy-logic approach based on the information received from the network and the nodes’ deployment. Our proposed model, Fuzzy-Logic based Path Planning for mobile anchor-assisted Localization in WSNs (FLPPL), offers superior results in several metrics including both localization accuracy and localization ratio in comparison to other similar works.
Highlights
Over the last few years, wireless sensor networks (WSNs) have been introduced as a new and simple technology for data gathering in many different physical environments [1]
We evaluated the performance of the proposed FLPPL model using MATLAB environment and compared it with the other implemented models of SCAN, localization algorithm based on trilateration called (LMAT), Z_Curve and NLA_MB in terms of localization accuracy, localization precision and localization ratio and coverage respectively
To assess the efficiency of the proposed model, we studied the models considering the following aspects, discussed below: accuracy, precision, and localization ratio
Summary
Over the last few years, wireless sensor networks (WSNs) have been introduced as a new and simple technology for data gathering in many different physical environments [1]. A WSN typically consists of a large set of small nodes deployed in an area of interest to collect, store, and forward data and deliver it to a place where it is needed. The nodes are low-cost, low-power, limited in terms of memory, and programmable [1,2]. WSN’s simple components and size have enabled it to be considered for many purposes in health, security, the military, and in tracking and monitoring applications [3]. In many applications of WSNs, the location of the sensor node (i.e., the location of the gathered data) is highly desired. A useful example is the location of the fire source or the exact position of pollution in some underwater applications
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