Journal ArticleDOI
Lifetime and Energy Hole Evolution Analysis in Data-Gathering Wireless Sensor Networks
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TLDR
An analytic model is proposed to estimate the entire network lifetime from network initialization until it is completely disabled, and determine the boundary of energy hole in a data-gathering WSN.Abstract:
Network lifetime is a crucial performance metric to evaluate data-gathering wireless sensor networks (WSNs) where battery-powered sensor nodes periodically sense the environment and forward collected samples to a sink node. In this paper, we propose an analytic model to estimate the entire network lifetime from network initialization until it is completely disabled, and determine the boundary of energy hole in a data-gathering WSN. Specifically, we theoretically estimate the traffic load, energy consumption, and lifetime of sensor nodes during the entire network lifetime. Furthermore, we investigate the temporal and spatial evolution of energy hole and apply our analytical results to WSN routing in order to balance the energy consumption and improve the network lifetime. Extensive simulation results are provided to demonstrate the validity of the proposed analytic model in estimating the network lifetime and energy hole evolution process.read more
Citations
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Journal ArticleDOI
Energy-Harvesting-Aided Spectrum Sensing and Data Transmission in Heterogeneous Cognitive Radio Sensor Network
Deyu Zhang,Zhigang Chen,Ju Ren,Ning Zhang,Mohamad Khattar Awad,Haibo Zhou,Xuemin Sherman Shen +6 more
TL;DR: In this article, the authors proposed a resource-allocation solution for the HCRSN to achieve the sustainability of spectrum sensors and conserve the energy of data sensors, which is achieved by two algorithms that operate in tandem: a spectrum sensor scheduling (SSS) algorithm and a data sensor resource allocation (DSRA).
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Dynamic Channel Access to Improve Energy Efficiency in Cognitive Radio Sensor Networks
TL;DR: Two dynamic channel accessing schemes are proposed to identify the channel sensing and switching sequences for intra-clusters and inter-cluster data transmission, respectively and can significantly reduce the energy consumption in CRSNs.
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Optimal coverage multi-path scheduling scheme with multiple mobile sinks for WSNs
TL;DR: A novel trajectory scheduling method based on coverage rate for multiple mobile sinks (TSCR-M) is presented especially for large-scale WSNs and an improved particle swarm optimization (PSO) combined with mutation operator is introduced to search the parking positions with optimal coverage rate.
IEEE transactions on industrial informatics
TL;DR: Five emerging technologies, namely, the Internet of Things, robotics, Artificial Intelligence, big data analytics, and blockchain, toward Agriculture 4.0 are discussed and the key applications of these emerging technologies in the agricultural sector and corresponding research challenges are focused on.
Journal ArticleDOI
Recursive Principal Component Analysis-Based Data Outlier Detection and Sensor Data Aggregation in IoT Systems
TL;DR: A cluster-based data analysis framework is proposed using recursive principal component analysis (R-PCA), which can aggregate the redundant data and detect the outliers in the meantime and efficiently aggregates the correlated sensor data with high recovery accuracy.
References
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Journal ArticleDOI
On the lifetime of wireless sensor networks
Isabel Dietrich,Falko Dressler +1 more
TL;DR: This survey was the starting point for a generic definition of sensor network lifetime for use in analytic evaluations as well as in simulation models—focusing on a formal and concise definition of accumulated network lifetime and total network lifetime.
Journal ArticleDOI
On the lifetime of wireless sensor networks
Yunxia Chen,Qing Zhao +1 more
TL;DR: A medium access control protocol is proposed that exploits both the channel state information and the residual energy information of individual sensors and maximizes the minimum residual energy across the network in each data collection.
Proceedings ArticleDOI
Prolonging the lifetime of wireless sensor networks via unequal clustering
Stanislava Soro,Wendi Heinzelman +1 more
TL;DR: This work proposes an unequal clustering size (UCS) model for network organization, which can lead to more uniform energy dissipation among the cluster head nodes, thus increasing network lifetime and expands this approach to homogeneous sensor networks.
Proceedings ArticleDOI
Design Guidelines for Maximizing Lifetime and Avoiding Energy Holes in Sensor Networks with Uniform Distribution and Uniform Reporting
Stephan Olariu,Ivan Stojmenovic +1 more
TL;DR: It is shown that for α > 2 the uneven energy depletion can be prevented by judicious system design, resulting in balanced energy expenditure across the network, and the width of coronas in energy-balanced sensor network increases.
Journal ArticleDOI
An unequal cluster-based routing protocol in wireless sensor networks
TL;DR: An Unequal Cluster-based Routing (UCR) protocol is proposed that mitigates the hot spot problem in multihop sensor networks, and achieves an obvious improvement on the network lifetime.