Link Quality Based Orthogonal Sniffing Movement Algorithm towards Mobile Sink
Wireless sensor networks (WSNs) have been widely used in many applications. However, in some particular situations such as battlefield communication and disaster monitoring, fixed sink nodes have shown their shortage on deployment, energy balance and conn
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Abstract. Wireless sensor networks (WSNs) have been widely used in many applications. However, in some particular situations such as battlefield communication and disaster monitoring, fixed sink nodes have shown their shortage on deployment, energy balance and connectivity. Also, most of the related works on mobile sink ignored packet loss and data collection coverage. In this paper, we propose a movement strategy for mobile sink based on the link quality: Orthogonal Sniffing Movement Algorithm (OSM). The movement strategy is carefully designed by analyzing the relationship between the route of sink node and link quality to achieve high data collection coverage. The movement of the mobile sink is determined dynamically by the evaluation results of link quality with sensor nodes. The simulation results reveal that OSM achieves high data collection coverage compared to other movement strategies. Keywords: movement strategy, Mobile Sink, OSM, WSNs.
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Introduction
Wireless Sensor Network (WSN) is a complex of sensor technology, embedded computing, wireless communications and distributed information processing [1]. It has emerged as a key technology for many monitoring applications [2]. Generally, a WSN is a three-level network system consisting of sensor nodes, sink nodes and management nodes. Sink nodes are designed to collect and transmit data from sensor areas to a base station. In some particular applications such as battlefield communication and disaster monitoring, a complete wireless sensor network is often divided into several small separated subnets connected by a main route which consists of many sink nodes. However, problems often occur when using fixed sink in such applications: Restricted by energy, geographical conditions and other factors, deploying sink nodes is more difficult than sensor nodes, and it is hard to repair if a sink node is out of energy; Sensing data cannot transmit to sink nodes by a single hop; Multi-hop mechanism and the construction of main route has brought the Hotspots problem; Also, redundant nodes have to be used if subnets have bad connectivity, which increases costs.
This work is supported by The National Natural Science Foundation of China under grant NO.61262020 and Aeronautical Science Foundation of China under grant ON.2010ZC56008.
L. Sun, H. Ma, and F. Hong (Eds.): CWSN 2013, CCIS 418, pp. 102–112, 2014. c Springer-Verlag Berlin Heidelberg 2014
Link Quality Based OSM Algorithm towards Mobile Sink
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Part of the problems are rooted in fixed sink nodes. Since the micro UAVs are well improved in both autonomous control and environment mapping [3], mobile nodes such as quadcopter [4] received a widespread concern. Mobile sink can reduce energy consumption and increase network life cycle while ensuring tolerable data delivery latency [5], that’s why it also attracts a large number of researches on movement strategy of mobile sink. In [6], Data Collection Scheme with Regular track (DCSR) has been proposed as a movement strategy for mobile sink. It selected a number of collecti
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