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Tuyển tập các báo cáo nghiên cứu về hóa học được đăng trên tạp chí hóa hoc quốc tế đề tài : LACFA: an algorithm for localization aware cluster formation in wireless sensor networks | Moragrega et al. EURASIP Journal on Wireless Communications and Networking 2011 2011 121 EURASIP Journal on . http jwcn.eurasipjournals.eom content 2011 1 121 Wireless Communications and Networking a SpringerOpen Journal RESEARCH Open Access LACFA an algorithm for localization aware cluster formation in wireless sensor networks Ana Moragrega Pau Closas and Christian Ibars Abstract The ability of a sensor node to determine its position is a fundamental requirement for many applications in wireless sensor networks WSNs . In this article we address a scenario where a subset of sensors called anchor nodes knows its own position and helps other nodes determine theirs through range-based positioning techniques. Such techniques benefit from a high degree of connectivity since range measurements from at least four anchor nodes are necessary three-dimensional scenario . On the other hand WSN topologies most notably the cluster-tree topology tend to limit connectivity between nodes to save energy. This results in very poor performance of the network in terms of localization. In this article we propose LACFA a network formation algorithm that increases the probability of localization of sensors in a cluster-tree topology. It does so by properly allocating anchor nodes to different clusters during the network formation phase. Our algorithm achieves very high localization probability when compared with existing cluster formation algorithms at no additional cost. Moreover a distributed cluster formation algorithm with no need for any centralized information exchange mechanisms is defined. Keywords wireless sensor networks positioning cluster-tree least squares 1 Introduction Wireless sensor networks WSNs consist of small low-complexity sensor nodes interconnected through wireless links. WSNs provide applications for monitoring and automation in different fields such as agriculture industrial environments home or smart cities. Low energy consumption is one of the main priorities
