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This paper deals with information discovery and aggregation in large scale wireless sensor networks applied for mission-critical applications like military reconnaissance. To support query processing based on the gathered information, an efficient and reliable information discovery mechanism is proposed for sensor networks. We extend the basic Comb-Needle Discovery Support Model [3] by including Cluster-based...
Data aggregation is an important element in information processing systems, including MapReduce clusters and cyber physical networks. Unlike simple sensor networks, all the data in information processing systems must be eventually aggregated. Our goal is to lower overall latency in these systems by intelligently scheduling aggregation on intermediate routing nodes. In order to understand the potential...
Due to power limitation of nodes in wireless sensor networks (WSNs), how to maximize network lifetime has become a critical issue for deployment of WSNs. Although several schemes have been proposed for 2D WSNs, few for 3D WSNs are known. In this paper, we present a scheme for maximizing network lifetime in 3D WSNs through balancing energy consumption, as an extension of the existing scheme for 2D...
Energy consumption of wireless sensor networks has always been the focus of people's studies. The introduction of data aggregation reduces the energy consumption of nodes to some extent, which can be combined to reduce the need for redundant data transmission of data packets thereby reducing the number of nodes in the energy consumption. Based on the comparing of current protocols of building aggregation...
In wireless sensor networks (WSNs), energy of the sensor nodes applied by battery is the important resource. Data aggregation and routing, eliminating data redundancy and reducing traffic to improve the energy efficiency, is essential for WSNs. Hence, cobweb model and data aggregation and routing scheme of cobweb (DARSC) are proposed in this paper. In cobweb model, the network topology is layered...
For wireless sensor networks (WSNs), how to design routing protocols is very important to gather data efficiently so that the life of the network can be prolonged. A usual concept to collect data by a sink node is to transfer data from sensor nodes to the sink node by multihop. However, it gives rise to two problems. The first one is that core sensor nodes being more frequently used to gather data...
An energy-efficient data gathering protocol called E2DGP that takes advantage of spatial and temporal correlation of sampling data for WSNs is proposed in this paper. E2DGP includes a clustering method of balancing energy consumption, a data prediction transmission strategy and an energy-aware multihop routing algorithm. In clustering process phase, the initial probability of node for cluster head...
According to the actual environment and condition of coal mine, we proposed a data aggregation model for wireless sensor networks to enhance the real-time performance and the reliability of underground environment monitoring system. In this model, all sensor nodes were divided into different grid clusters by geographical information and the network topology was composed of two levels. The lower level...
In this paper, we propose an efficient routing solution for correlated data collection in wireless sensor networks. Our proposed routing metric considers both the interference distribution as well as the data correlation when establishing routes. An iterative, distributed solution based on local information is proposed using a game theoretic framework. Routes are chosen to minimize both the interference...
Most existing geographic routing protocols on sensor networks concentrates on finding ways to guarantee data forwarding from the source to the destination, and not many protocols have been done on collecting and aggregating data of sources in a local and adjacent region. However, data generated from the sources in the local and adjacent region are often redundant and highly correlated. Accordingly,...
Wireless sensor network can be applied to both abominable and military environments. A primary goal in the design of wireless sensor networks is lifetime maximization, constrained by the energy capacity of batteries. One well-known method to reduce energy consumption in such networks is data aggregation. A spanning tree algorithm for data aggregation based on estimate cost was presented. The paper...
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