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Improving the lifetime of sensor networks that are used to monitor a number of targets lying on a field has lately received considerable attention. The most common approach to tackle this problem divides the sensor nodes into cover sets, where the sensors in each set are capable of monitoring all targets in the field. By activating one cover set at a time, the sensor network lifetime can be extended...
Sensor network lifetime is largely affected by the energy consumption for data transmission from sensor nodes to a base station. We generalize and solve the problems of deploying multiple base stations in sensor networks using one-hop and multi-hop communication models to maximize network lifetime. Under the one-hop communication model, the sensors far away from base stations always deplete their...
This paper studies the precision-constraint data aggregation problem for dynamic cluster-based wireless sensor networks. The goal is to extend the network lifetime while keeping reasonable data quality. To achieve the target, we propose the dynamical precision allocation algorithm, which splits the application error bound which users can tolerate into individual local error bounds. We differentiate...
With the further development of sensor techniques in wireless sensor networks (WSNs), it is becoming urgent that they should be able to support complicated queries like skyline query for multi-preference and decision making. In this paper, we consider skyline query evaluation in WSNs by devising evaluation algorithms for finding skyline points on a dataset progressively. The core techniques adopted...
For monitoring burst events in a kind of reactive wireless sensor networks (WSNs), a novel scheme of dynamic clustering routing algorithm (DCRA) based on support degree is proposed. The new approach lets sensors decide whether become a clusterhead (CH) according to the support degree coming from neighbors. Unlike traditional distributed clustering algorithms, DCRA combines energy, load balancing and...
Topology control is a well-known strategy to save energy and extend the lifetime of wireless sensor networks. In the literature, it is usually referred as the process that, given a set of nodes, builds a reduced topology that still guarantees connectivity and coverage. Here, we extend this definition. We consider topology control as two processes: topology construction and topology maintenance. Topology...
One of the most important constraints on wireless sensor network is the low power consumption. Therefore, topology of wireless sensor network must focus on power conservation. It is possible to extend the lifetime of a network by controlling its topology through clustering. Topology control target tracking-oriented based on overlapping clustering in wireless sensor network is proposed in this paper...
The energy-efficiency usage is relative to each layer of wireless sensor networks. In order to improve the ZigBee mesh routing protocol for energy-efficiency usage, we propose a routing algorithm combining AODVjr with the node residual energy. To reduce the energy consumption of bottleneck nodes and extend network lifetime, the improved routing algorithm aims to build a new balancing method between...
One of the most important aspects of wireless sensor networks applications is the network lifetime. A possibility of prolonging lifetime is to turn off some sensors, especially in dense deployed networks with high redundancy. However, to keep the application effectiveness a certain amount of coverage is needed. The coverage is usually quantized by various metrics. In this paper we propose a scalable...
In order to maximize the network lifetime for target coverage, we propose a heuristic greedy optimum coverage algorithm (HG-OCA). In HG-OCA, we first design a network model in which power supplies of sensor nodes follow a normal distribution. Next, we analyze energy model of target coverage, educe three rules to reduce network scale, present the concept of the key target and the prior coverage of...
In this paper, we consider a target-tracking sensor network and improve its energy awareness through predicting a target trajectory and decreasing sampling rate of sensors while maintaining an acceptable tracking accuracy. The tracking problem is formulated as a hierarchical Markov decision process (MDP) and is solved through neurodynamic programming. Though this is not new, improvements in performance...
One of the key problems for wireless sensor networks (WSNs) is how to make the best of limited energy. The conventional clustering method has the unique potential to be the framework for energy-conserving wireless sensor networks .In this paper, a novel dynamic clustering algorithm based on geographical location information(GL-DC)is proposed for WSNs. Comparing with other algorithms, GL-DC has two...
In this paper, we study the maximization problem of network lifetime for answering a sequence of aggregate queries based on snapshot data. We build a series of nearly optimal representative routing trees for query evaluation, where a representative routing tree is such a tree rooted at the base station that each node in it represents a set of non-tree nodes by holding their historical data (snapshot...
In wireless sensor networks, the use of energy efficient infrastructure such as clustering may be used to lengthen the network lifetime and prevent network connectivity degradation. In such systems, the performance of the clustering scheme is generally influenced by the cluster head selection method and the number of clusters. This paper presents a dynamic clustering method with multi-objectives that...
A major issue in wireless sensor networks is to prolong network lifetime by efficient energy management. In this paper we present an initial study of maximum lifetime routing in sparse sensor networks. We have studied simulations of how different heuristic routing algorithms influence the energy consumption of individual sensor nodes, and thus the functional lifetime of a sparse sensor network. The...
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