Abstract
<p style="margin: 1em 0px; -ms-layout-grid-mode: char;"><span style="font-family: Times New Roman; font-size: medium;">With the development of electronic technology and communication protocols, wireless sensor network technology is developing rapidly. In a sense, the traditional static wireless sensor network has been unable to meet the needs of new applications. However, the introduction of mobile nodes extends the application of wireless sensor networks, despite the technical challenges. Because of its flexibility, the mobile wireless sensor network has attracted great attention, and even small, self-controlled mobile sensor devices have appeared. At present, mobile node localization has become one of the hotspots in wireless sensor networks. As the storage energy of wireless sensor network nodes is limited, and the communication radius is small, many scientists have focused their research direction on the location algorithm of mobile nodes. According to the continuity principle of mobile node movement, in this paper we propose an improved mobile node localization algorithm based on the Monte Carlo Location (MCL) algorithm, and the method can reduce the sampling interval effectively. First of all, this paper introduces the structure and classification of wireless sensor localization technology. Secondly, the principle of the Monte Carlo Location algorithm is described in detail. Thirdly, we propose an efficient method for mobile node localization based on the MCL algorithm. Finally, the effectiveness and accuracy of the new algorithm are verified by comparative analysis.</span></p>
Highlights
As a new type of network communication technology, Wireless Sensor Networks (WSNs) are widely used in many fields, such as environmental monitoring, military target tracking, the medical and health fields and intelligent traffic monitoring [1]
In 2004, the Monte Carlo Location (MCL) algorithm was applied to the localization of mobile WSNs by Hu and Evans for the first time [3]
We find that the improved mobile node localization algorithm has a certain improvement in time and positioning accuracy
Summary
As a new type of network communication technology, Wireless Sensor Networks (WSNs) are widely used in many fields, such as environmental monitoring, military target tracking, the medical and health fields and intelligent traffic monitoring [1]. The static node localization algorithm for WSNs has become mature, and the theoretical research results are relatively rich. Designing a suitable WSN mobile node localization algorithm has become a hot research issue. In 2004, the MCL algorithm was applied to the localization of mobile WSNs by Hu and Evans for the first time [3]. This algorithm needs to transmit the sample and weight of the previous moment to the neighbor node, which leads to a large cost in communication [7]. A new algorithm is proposed to predict the location of mobile nodes by using sector sampling. We propose an efficient method for mobile node localization based on the MCL algorithm. The effectiveness and accuracy of the new algorithm are verified by comparative analysis
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