Academic literature on the topic 'Multi-Hop Wireless Sensor Network'

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Journal articles on the topic "Multi-Hop Wireless Sensor Network"

1

S.R, Srividhya. "Efficient Secured Multi-Hop Routing Technique for Wireless Sensor Network." Journal of Advanced Research in Dynamical and Control Systems 11, no. 0009-SPECIAL ISSUE (2019): 806–14. http://dx.doi.org/10.5373/jardcs/v11/20192636.

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2

Singh, Omkar, and Vinay Rishiwal. "QoS Aware Multi-hop Multi-path Routing Approach in Wireless Sensor Networks." International Journal of Sensors, Wireless Communications and Control 9, no. 1 (2019): 43–52. http://dx.doi.org/10.2174/2210327908666180703143435.

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Background & Objective: Wireless Sensor Network (WSN) consist of huge number of tiny senor nodes. WSN collects environmental data and sends to the base station through multi-hop wireless communication. QoS is the salient aspect in wireless sensor networks that satisfies end-to-end QoS requirement on different parameters such as energy, network lifetime, packets delivery ratio and delay. Among them Energy consumption is the most important and challenging factor in WSN, since the senor nodes are made by battery reserved that tends towards life time of sensor networks. Methods: In this work a
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3

HUANG, GUANGYAN, XIAOWEI LI, JING HE, and XIN LI. "DATA MINING VIA MINIMAL SPANNING TREE CLUSTERING FOR PROLONGING LIFETIME OF WIRELESS SENSOR NETWORKS." International Journal of Information Technology & Decision Making 06, no. 02 (2007): 235–51. http://dx.doi.org/10.1142/s0219622007002538.

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Clustering is applied in wireless sensor networks for increasing energy efficiency. Clustering methods in wireless sensor networks are different from those in traditional data mining systems. This paper proposes a novel clustering algorithm based on Minimal Spanning Tree (MST) and Maximum Energy resource on sensors named MSTME. Also, specified constrains of clustering in wireless sensor networks and several evaluation metrics are given. MSTME performs better than already known clustering methods of Low Energy Adaptive Clustering Hierarchy (LEACH) and Base Station Controlled Dynamic Clustering
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4

Li, Zhu Guo, Bing Wen Wang, and Li Zhu Feng. "EDMC: An Energy-Efficient Distributed Multi-Hop Clustering Approach for Wireless Sensor Networks." Applied Mechanics and Materials 198-199 (September 2012): 1668–71. http://dx.doi.org/10.4028/www.scientific.net/amm.198-199.1668.

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The past few years have witnessed increasing focus on the potential applications of wireless sensor networks. Sensors in these networks are expected to be remotely dispersed in large number and to operate autonomously and unattended. Clustering is a widely used technique that can enhance scalability and decrease energy consumption over sensor networks. We present an energy-efficient distributed multi-hop clustering approach for sensor networks, which combined multi-hop transmission with clustering method, aiming to balance the energy dissipation and prolong the whole network lifetime. Simulati
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5

Yang, Han Hua. "Adaptive Multi Path Routing Protocol for Heterogeneous Multi-Hop Wireless Sensor Network." Applied Mechanics and Materials 291-294 (February 2013): 2532–36. http://dx.doi.org/10.4028/www.scientific.net/amm.291-294.2532.

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Multi path routing protocol plays important part in the multi hop heterogeneous wireless sensor network. To get better performance, adaptive Wireless Senor Network Multi Path Routing Scheme (AMRH) is proposed, which is made up of three phrases: initial setup, route discovery and establishment, route maintenance. In the first phrase, every node gets the initial route table. In the second phrase, source node will find minimum-cost path among multiple paths. In the third phrase, route maintenance is conducted under adaptive mechanism. Simulation shows that AMRH scheme can prolong sensor network l
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6

Huang, Xiaohu, Dezhi Han, Mingming Cui, Guanghan Lin, and Xinming Yin. "Three-Dimensional Localization Algorithm Based on Improved A* and DV-Hop Algorithms in Wireless Sensor Network." Sensors 21, no. 2 (2021): 448. http://dx.doi.org/10.3390/s21020448.

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In the traditional wireless sensor networks (WSNs) localization algorithm based on the Internet of Things (IoT), the distance vector hop (DV-Hop) localization algorithm has the disadvantages of large deviation and low accuracy in three-dimensional (3D) space. Based on the 3DDV-Hop algorithm and combined with the idea of A* algorithm, this paper proposes a wireless sensor network node location algorithm (MA*-3DDV-Hop) that integrates the improved A* algorithm and the 3DDV-Hop algorithm. In MA*-3DDV-Hop, firstly, the hop-count value of nodes is optimized and the error of average distance per hop
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7

Huang, Xiaohu, Dezhi Han, Mingming Cui, Guanghan Lin, and Xinming Yin. "Three-Dimensional Localization Algorithm Based on Improved A and DV-Hop Algorithms in Wireless Sensor Network*." Sensors 21, no. 2 (2021): 448. http://dx.doi.org/10.3390/s21020448.

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In the traditional wireless sensor networks (WSNs) localization algorithm based on the Internet of Things (IoT), the distance vector hop (DV-Hop) localization algorithm has the disadvantages of large deviation and low accuracy in three-dimensional (3D) space. Based on the 3DDV-Hop algorithm and combined with the idea of A* algorithm, this paper proposes a wireless sensor network node location algorithm (MA*-3DDV-Hop) that integrates the improved A* algorithm and the 3DDV-Hop algorithm. In MA*-3DDV-Hop, firstly, the hop-count value of nodes is optimized and the error of average distance per hop
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8

Zhou, Xin Lian, and Sheng Chen. "Non-Uniform Cluster-Based Mobile Data Collector Routing Protocol in Wireless Sensor Networks." Advanced Materials Research 756-759 (September 2013): 2173–77. http://dx.doi.org/10.4028/www.scientific.net/amr.756-759.2173.

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One fundamental task of wireless sensor networks (WSNs) is to save sensor power, and try to prolong the lifetime of WSNs. Traditional routing protocols are almost based on homogeneous WSNs, all sensors are use single hop or multi-hop to transmit data to base station, which lead to overload sensors next to base station, thus appear energy hole and made WSN outwork. In this paper, we use a new novel mobile collectors mobile strategy method to prolong network lifetime, and reduce hot-spot effect around base station. We propose the routing method can effectively balance the network sensors energy
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9

Tronci, Eleonora Maria, Sakie Nagabuko, Hiroyuki Hieda, and Maria Qing Feng. "Long-Range Low-Power Multi-Hop Wireless Sensor Network for Monitoring the Vibration Response of Long-Span Bridges." Sensors 22, no. 10 (2022): 3916. http://dx.doi.org/10.3390/s22103916.

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Recently, vibration-based monitoring technologies have become extremely popular, providing effective tools to assess the health condition and evaluate the structural integrity of civil structures and infrastructures in real-time. In this context, battery-operated wireless sensors allow us to stop using wired sensor networks, providing easy installation processes and low maintenance costs. Nevertheless, wireless transmission of high-rate data such as structural vibration consumes considerable power. Consequently, these wireless networks demand frequent battery replacement, which is problematic
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10

Qing-Xue Liu, Qing-Xue Liu, Huang-Shui Hu Qing-Xue Liu, Mei-Qin Yao Huang-Shui Hu, and Chu-Hang Wang Mei-Qin Yao. "An Improved Multi-hop LEACH Protocol Based on Fuzzy Logic for Wireless Sensor Networks." 電腦學刊 33, no. 3 (2022): 001–16. http://dx.doi.org/10.53106/199115992022063303001.

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<p>As an important kind of clustering protocols in wireless sensor networks (WSNs), LEACH and its variants have been demonstrated to efficiently balance the energy consumption, simplify the routing task and extend the network lifetime. Especially, the multi-hop LEACH type protocols have proved to be effective approaches for high energy efficiency, reliability as well as scalability. However, data transmission in hop-by-hop mode increases the energy consumption and end-to-end delay. In this paper, an improved multi-hop LEACH protocol based on fuzzy logic called IMF-LEACH is proposed, whic
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