Showing 181 - 200 results of 654 for search '"Wireless Sensor Networks"', query time: 0.07s Refine Results
  1. 181

    Joint Resource Allocation Optimization of Wireless Sensor Network Based on Edge Computing by Jie Liu, Li Zhu

    Published 2021-01-01
    “…Resource allocation has always been a key technology in wireless sensor networks (WSN), but most of the traditional resource allocation algorithms are based on single interface networks. …”
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    Article
  2. 182

    Energy-Balanced Density Control to Avoid Energy Hole for Wireless Sensor Networks by Jie Jia, Jian Chen, Xingwei Wang, Linliang Zhao

    Published 2012-01-01
    “…Density control is of great relevance for wireless sensor networks monitoring hazardous applications where sensors are deployed with high density. …”
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    Article
  3. 183

    Design of a Wireless Sensor Network Monitoring System for Biological and Pharmaceutical Products by Chun Ho Wu, Chun Kit Ng, Lixing Wang, G. T. S. Ho, W. H. Ip, J. Zhang

    Published 2015-04-01
    “…This research describes the design of a wireless sensor network (WSN) monitoring system for B&P products supply chain management. …”
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    Article
  4. 184

    Using Coloured Petri Nets for Evaluating the Power Consumption of Wireless Sensor Networks by Antônio Dâmaso, Nelson Rosa, Paulo Maciel

    Published 2014-06-01
    “…Several strategies to evaluate the power consumption of of wireless sensor networks (WSNs) have been proposed. The limited amount of energy and the difficulty of recharging them have demanded the emerging of these strategies. …”
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    Article
  5. 185

    Latency Improvement Strategies for Reliability-Aware Scheduling in Industrial Wireless Sensor Networks by Felix Dobslaw, Tingting Zhang, Mikael Gidlund

    Published 2015-10-01
    “…We propose novel strategies for end-to-end reliability-aware scheduling in Industrial Wireless Sensor Networks (IWSNs). Because of stringent reliability requirements in industrial applications where missed packets may have disastrous or lethal consequences, all IWSN communication standards are based on Time Division Multiple Access (TDMA), allowing for deterministic channel access on the MAC layer. …”
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  6. 186
  7. 187

    Node Deployment Algorithm Based on Viscous Fluid Model for Wireless Sensor Networks by Jiguang Chen, Huanyan Qian

    Published 2014-01-01
    “…In order to reduce the complexity, we propose a node deployment algorithm based on viscous fluid model. In wireless sensor networks, sensor nodes are abstracted as fluid particles. …”
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    Article
  8. 188

    An Energy-Efficient Collaborative Target Tracking Framework in Distributed Wireless Sensor Networks by Lin Shang, Kang Zhao, Zhengguo Cai, Dan Gao, Maolin Hu

    Published 2014-07-01
    “…Energy consumption and tracking accuracy are two significant issues for collaborative tracking in distributed wireless sensor networks (DWSNs). To obtain a benefit from those issues, most of the recent work tends to reduce the spatial redundancy, while ignoring utilizing the attribute of time redundancy. …”
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    Article
  9. 189

    Enhancing Coverage and Efficiency in Wireless Sensor Networks: A Review of Optimization Techniques by Rajasekaran S, Shaik Mastan Vali

    Published 2024-09-01
    “…Wireless Sensor Networks (WSNs) are vital for applications such as environmental monitoring, surveillance, and healthcare, where comprehensive network coverage is essential for accurate data collection. …”
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    Article
  10. 190

    A Game-Based Secure Localization Algorithm for Mobile Wireless Sensor Networks by Tianyue Bao, Jiangwen Wan, Kefu Yi, Qiang Zhang

    Published 2015-09-01
    “…The issue of node localization is a fundamental problem in wireless sensor networks. Recently, the localization problem for mobile sensor networks in hostile environment has received significant attention. …”
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    Article
  11. 191

    Persevering Routing Technique Based on Event Occurrence Patterns for Wireless Sensor Networks by Majid Rafigh, Maghsoud Abbaspour

    Published 2012-05-01
    “…Wireless sensor networks (WSNs) comprising of tiny, power-constrained nodes are gaining popularity due to their potential use in a wide range of applications, including monitoring of environmental attributes, intrusion detection, and various military and civilian environments. …”
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    Article
  12. 192

    An Energy Efficient Anchor-Free Localization Algorithm for No-Identity Wireless Sensor Networks by Zhe Qu, Minglei Shu, Ming Yang, Chongqing Zhang, Nuo Wei, Qingbei Guo, Tao Du

    Published 2015-12-01
    “…A wireless sensor network (WSN) model by analyzing the limitations of existing localization algorithm is proposed in this paper. …”
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    Article
  13. 193

    Mobile Base Station and Clustering to Maximize Network Lifetime in Wireless Sensor Networks by Oday Jerew, Kim Blackmore, Weifa Liang

    Published 2012-01-01
    “…Using a mobile base station (BS) in a wireless sensor network can alleviate nonuniform energy consumption among sensor nodes and accommodate partitioned networks. …”
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    Article
  14. 194

    An Energy-Aware Routing Protocol for Query-Based Applications in Wireless Sensor Networks by Ehsan Ahvar, Shohreh Ahvar, Gyu Myoung Lee, Noel Crespi

    Published 2014-01-01
    “…Wireless sensor network (WSN) typically has energy consumption restriction. …”
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    Article
  15. 195

    A novel topology optimization of coverage-oriented strategy for wireless sensor networks by Shuxin Wang, Hairong You, Yinggao Yue, Li Cao

    Published 2021-04-01
    “…Aiming at the key optimization problems of wireless sensor networks in complex industrial application environments, such as the optimum coverage and the reliability of the network, a novel topology optimization of coverage-oriented strategy for wireless sensor networks based on the wolf pack algorithm is proposed. …”
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  16. 196

    An Improved ARIMA-Based Traffic Anomaly Detection Algorithm for Wireless Sensor Networks by Qin Yu, Lyu Jibin, Lirui Jiang

    Published 2016-01-01
    “…In this paper, based on the improved Autoregressive Integrated Moving Average (ARIMA) model, we propose a traffic anomaly detection algorithm for wireless sensor networks (WSNs) which considers the particular imbalanced, nonstationary properties of the WSN traffic and the limited energy and computing capacity of the wireless sensors at the same time. …”
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  17. 197
  18. 198

    Distributed Data Mining Based on Deep Neural Network for Wireless Sensor Network by Chunlin Li, Xiaofu Xie, Yuejiang Huang, Hong Wang, Changxi Niu

    Published 2015-07-01
    “…As the sample data of wireless sensor network (WSN) has increased rapidly with more and more sensors, a centralized data mining solution in a fusion center has encountered the challenges of reducing the fusion center's calculating load and saving the WSN's transmitting power consumption. …”
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  19. 199

    One-Tier versus Two-Tier Wireless Sensor Networks: Coverage Problem by Tarek Sheltami

    Published 2015-10-01
    “…This paper tackles the coverage problem in homogenous and heterogeneous wireless sensor networks. The homogenous sensor network consists of sensor nodes and relays; however, the heterogeneous sensor network consists of sensor nodes, super nodes, and satellite nodes. …”
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  20. 200