Connectivity-Based Data Gathering with Path-Constrained Mobile Sink in Wireless Sensor Networks
Connectivity-Based Data Gathering with Path-Constrained Mobile Sink in Wireless Sensor Networks作者机构：Department of Computer Engineering/Faculty of Engineering Al-Hussien Bin Talal University Ma’an Jordan
出 版 物：《Wireless Sensor Network》 (无线传感网络（英文）)
年 卷 期：2014年第6卷第6期
页 面：118-128页
学科分类：08[工学] 081101[工学-控制理论与控制工程] 0811[工学-控制科学与工程] 081102[工学-检测技术与自动化装置]
主 题：Wireless Sensor Network (WSN) Data Collection Algorithm Received Signal Strength (RSS) and Mobile Sink
摘 要：The design of an effective and robust data gathering algorithm is crucial to the overall performance of wireless sensor networks (WSN). However, using traditional routing algorithms for data gathering is energy-inefficient for sensor nodes with limited power resources and multi-hop communication protocols. Data gathering with mobile sinks provided an effective solution to this problem. The major drawback of this approach is the time and path constraints of the mobile sink, which limit the mobile sink to collect data from all sensor nodes and, then, data routing is still required for these unreachable parts by the mobile sink. This paper presents a new data gathering algorithm called Connectivity-Based Data Collection (CBDC). The CBDC algorithm utilizes the connectivity between sensor nodes so as to determine the trajectory of the mobile sink whilst satisfying its path constraint and minimizing the number of multi-hop communications. The presented results show that CBDC, in comparison with the LEACH-C algorithm, prolongs the network life time at different connectivity levels of sensor networks, varying number of sensor nodes and at different path constraints of the mobile sink.
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