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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...
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...
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...
Wireless sensor networks hold the potential to open new domains to distributed data acquisition. However, low-cost battery-powered nodes are often used to implement such networks, resulting in tight energy and communication bandwidth constraints. Cluster-based data compression and aggregation helps to reduce communication energy consumption. However, neglecting to adapt cluster sizes to local network...
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...
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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