A Density Control Scheme Based on Disjoint Wakeup Scheduling in Wireless Sensor Network
Wireless sensor networks consist of many nodes with sensing, computation, and wireless communications capabilities. Due to difficulty of recharging battery, energy efficiency is essential problem in wireless sensor network. We propose a density control sc
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Abstract Wireless sensor networks consist of many nodes with sensing, computation, and wireless communications capabilities. Due to difficulty of recharging battery, energy efficiency is essential problem in wireless sensor network. We propose a density control scheme based on disjoint wakeup scheduling which can provide a full connectivity to sink node with a minimum set of active nodes in a highly dense network to prolong the network lifetime. Keywords Wireless sensor network ciency Density control
Scheduling Connectivity Energy effi-
Introduction Advanced sensor technologies and wireless communications have enabled the development of wireless sensor networks which can be used for various applications such as earth-quake, forest fire, the battlefield surveillance, machine failure diagnosis, biological detection, home security, smart spaces, inventory tracking, etc. [1, 2]. A wireless sensor network consists of tiny sensing device which has capability of detecting some phenomena. In a large-scale sensor network, we need to deploy numerous sensor nodes densely in the sensing field and maintain them in proper way. One of the most important issues in such high-density sensor networks is density control [3, 4]. It can save energy by turning off redundant nodes and it can prolong the system lifetime by replacing the failed nodes with some sleeping nodes. Density control is
E. Kim (&) YongIn University, Yongin, South Korea e-mail: [email protected]
Y.-M. Huang et al. (eds.), Advanced Technologies, Embedded and Multimedia for Human-centric Computing, Lecture Notes in Electrical Engineering 260, DOI: 10.1007/978-94-007-7262-5_57, Ó Springer Science+Business Media Dordrecht 2014
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very important for energy efficiency in topology control with wireless sensor networks. In GAF [5], total network is divided a smaller virtual grid cell enough to communicate with its neighbors and one sensor node is selected as active node in a virtual grid cell. OGDC [6] prove that if communication radius is greater than twice of sensing radius, the connectivity is guaranteed by full coverage problem. In ASCENT [7], sensor node participate the network topology with parameter as the number of neighbors and packet loss ratio. Joint Scheduling method [8] awakes sensor nodes with random time slot which provide statistical coverage ratio and it awakes the other extra time slot that belongs to its downstream neighbor for connectivity to the sink node. In this paper, we propose a density control scheme based on disjoint wakeup scheduling to improve energy efficiency while satisfying the requirements for sensing coverage and network connectivity. Our scheme works in a distributed manner at each sensor node and does not require the location information. The rest of this paper is organized as follows. In paper A Vocabulary Learning Game Using a Serious-Game Approach, we propose our scheme, and evaluate it through simulation in paper An Improved Method for Measurement of Gross National Happiness Using Social Network Ser
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