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This paper considers the Slepian-Wolf coding based energy minimization clustering (SWEMC) problem in a wireless sensor network (WSN), which aims to minimize the amount of data generated within each cluster and the overall energy cost for data transmission in the network. To solve the problem, we propose a Slepian-Wolf coding based energy-efficient clustering (SWEEC) algorithm, which is based on a...
Low duty cycled sleep scheduling can largely prolong the lifetime of a wireless sensor network (WSN). However, it also brings big challenge to the design of efficient routing protocols. Inappropriate selection of routes can largely offset the efficiency of a sleep scheduling mechanism. This paper aims to provide a simple but efficient forwarding discipline for packet routing in a low duty cycled WSN...
Scheduling real-time and non-real time packets at the sensor nodes is significantly important to reduce processing overhead, energy consumptions, communications bandwidth, and end-to-end data transmission delay of Wireless Sensor Network (WSN). Most of the existing packet scheduling algorithms of WSN use assignments based on First-Come First-Served (FCFS), non-preemptive priority, and preemptive priority...
The paper concerns a wireless sensor network (WSN) hosting multiple applications. The applications vary in terms of their resource requirements such as the number of sensors required by the applications and the location of the required sensors relative to a sink node. The requests for the various applications need to be scheduled in a manner so as to reduce the overall mean response time to the users...
The design of an energy-efficient Medium Access Control (MAC) protocol is one of the major issues in wireless sensor networks (WSN). In this study, we present a MAC protocol adapted to a particular class of WSNs. This protocol is mainly used for nodes located in the same radio range. It could be used by WSNs dedicated to environment monitoring where each node senses a parameter periodically. In this...
Minimization of power consumption is a critical design goal for wireless-relay networks comprised of battery-powered sensor devices. Traditionally, wireless communication is optimized to minimize the total transmission power. In the paper, we further include the detection power and the reception power in order to minimize the overall network power consumption for information exchange in wireless-relay...
In this paper we present our experimental result of using wireless noise sensor network (WNSN) to detect road traffic. With the features implemented in our network such as multipoint measuring, synchronization, real-time data availability, and strict compliance of sound level meter (SLM) standard IEC 61672:2003, we assert the possibility of using WNSN to detect road traffic, such as vehicle amount,...
In habitat monitoring applications, when a sensor node detects an endangered animal, e.g., a panda, it reports the animal's presence and activities to the sink. However, the adversaries can eavesdrop on the network transmissions and make use of the traffic information to locate pandas to hunt them. In this paper, we first define hotspot phenomenon that causes an obvious inconsistency in the network...
The optimal transmit power of a sensor node while satisfying different rate constraints is derived. First, an optimization problem with an instantaneous transmission rate constraint is addressed. Next, the optimal power is analyzed, but now with an average transmission rate constraint. The optimal solution for a class of fading channels, in terms of system parameters, is presented and a suboptimal...
In wireless sensor network, a large number of cheap nodes are deployed in the uncontrollable environment. Therefore, the fault probability of sensor nodes in wireless sensor network is much greater than that in traditional network. According to the impact model, the impact of one event is significantly dependent on the distance between the sensor and event source. So in this paper, we propose a wireless...
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