Object-Tracking Algorithm in Mobile Wireless Sensor Networks

• Main Authors: Yihao Chen, 陳逸豪
• Other Authors: Wen Ouyang
• Format: Others
• Language: zh-TW
• Published: 2012
• Online Access: http://ndltd.ncl.edu.tw/handle/12866772397284891594

碩士 === 中華大學 === 資訊工程學系碩士班 === 100 === Communications technology was developed over the time and the wireless sensor networks (WSNs) was more and more developed. WSNs have been widely used in various fields. Tracking mobile object has been widely applied in our lives. At the same times, tracking is also the basis technology of some applications. The main point at tracking mobile object is how to localize object more accurate and more real-time. Many past studies assume that the distance between two nodes can directly converted into the distance through the RSSI, but this assumption is not suitable in the real world. In this paper, we assume that the formula does not exist, we assume that we only known: the received signal between two nodes is stronger, and the distance between the two nodes is shorter. If the signal becomes weaker, the distance of two nodes is longer. Some previous studies used mobile anchor to reduce the number of anchors and increase the opportunity which we can localize object, but also have some case which just objects is not moving around mobile anchor. The method which using mobile anchor is stills a room for improvement. In this paper, we hope we can propose a method which can track mobile object and also achieves high accuracy, stability, and applicability. In this paper, we propose five methods: CD Hybrid, DVT Hybrid, SSVT, OTMA, ROTMA. The main purpose of CD Hybrid, DVT Hybrid and SSVT is to track object. OTMA is considered when anchor is movable and anchor coverage is not 100%. It can make more opportunity that localizing objects and tracking more complete objects move path. ROTMA is extended by OTMA, and this method not only solves OTMA’s drawback but also energy balance. The simulation results show that our proposed algorithms are better than previous researches, especially in the anchor are sparse distribution. Finally, the result also show ROTMA is better than previous works in efficiency of localization, coverage and energy balance.