Academic literature on the topic 'MOBILE SINK STRATEGY'

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Journal articles on the topic "MOBILE SINK STRATEGY"

1

Feiroz Khan, T. H., and D. Siva Kumar. "An obstacle aware mobile sink path strategy in WSN." Indonesian Journal of Electrical Engineering and Computer Science 15, no. 2 (2019): 879. http://dx.doi.org/10.11591/ijeecs.v15.i2.pp879-887.

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<span>In Wireless Sensor Networks, Mobile Sink accomplishes considerable achievement on network lifetime improvement. In sensing environment, more chances to present the obstacle. But, in the mobile sink, how to identify the obstacle and make the obstacle aware path strategy is a challenging task. To overcome this problem, we propose an Obstacle Aware Mobile sink Path Strategy (OAMPS) that detects any obstacles which enter within the network lifetime and design a shortest mobile sink movement path avoiding detected obstacles. In this scheme, the mobile sink collects the sensing data from
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2

Zheng, Li Li, Qiu Ling Tang, and Xian Li. "An Energy-Balanced Path Plan Strategy for Mobile Sensor Networks." Applied Mechanics and Materials 738-739 (March 2015): 65–69. http://dx.doi.org/10.4028/www.scientific.net/amm.738-739.65.

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Several studies have demonstrated that significant energy consumption reduction of nodes and network energy hole elimination can be achieved by introducing a mobile sink. In most related researches, mobile sink's energy is always assumed to be sufficient to collect data sensed by normal nodes. However, mobile sink consumes large amounts of energy in practical applications and it is impossible to own infinite energy. Correspondingly, the moving path plan of the mobile sink, which can be treated as a TSP (Travelling Salesman Problem), plays an important role in reducing and balancing network ene
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3

Basil Ghazi, Ahmed, Omar Adil Mahdi, and Wid Badee Abdulaziz. "Lightweight route adjustment strategy for mobile sink wireless sensor networks." Indonesian Journal of Electrical Engineering and Computer Science 21, no. 1 (2021): 313. http://dx.doi.org/10.11591/ijeecs.v21.i1.pp313-320.

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<span>As a result of numerous applications and low installation costs, wireless sensor networks (WSNs) have expanded excessively. The main concern in the WSN environment is to lower energy consumption amidst nodes while preserving an acceptable level of service quality. Using multi-mobile sinks to reduce the nodes' energy consumption have been considered as an efficient strategy. In such networks, the dynamic network topology created by the sinks mobility makes it a challenging task to deliver the data to the sinks. Thus, in order to provide efficient data dissemination, the sensor nodes
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4

Yang, Ying, Wude Yang, Huarui Wu, and Yisheng Miao. "A mobile sink–integrated framework for the collection of farmland wireless sensor network information based on a virtual potential field." International Journal of Distributed Sensor Networks 17, no. 7 (2021): 155014772110301. http://dx.doi.org/10.1177/15501477211030122.

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To overcome the limitations of traditional data collection methods in large-scale farmland wireless sensor network, in this study, we introduce a mobile sink and propose a virtual potential field-based strategy for mobile sink path planning. Virtual potential field-based strategy constructs a virtual field based on the residual energy, data generation rate, location information and cache urgency of nodes in the monitoring area. The stronger the virtual field, the more attractive it will be to mobile sink, which consequently affects the mobile path of sink node. Rendezvous points are selected i
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5

Mohapatra, Seli, Prafulla Kumar Behera, Prabodh Kumar Sahoo, et al. "Modified Ring Routing Protocol for Mobile Sinks in a Dynamic Sensor Network in Smart Monitoring Applications." Electronics 12, no. 2 (2023): 281. http://dx.doi.org/10.3390/electronics12020281.

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The stationary hierarchical network faces considerable challenges from hotspots and faster network breakdowns, especially in smart monitoring applications. As a solution to this issue, mobile sinks were recommended since they are associated with huge and balanced ways to transfer data and energy across the network. Again, due to the mobile sink node advertisement around the network latency and the energy utilization overheads introduced across the network, ring routing reduces the control overhead while preserving the benefits of the mobile sink, thereby optimizing the energy and improving the
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6

Bagais, Najla, Etimad Fadel, and Amal Al-Mansour. "An Efficient Path Planning Strategy in Mobile Sink Wireless Sensor Networks." Computers, Materials & Continua 73, no. 1 (2022): 1237–67. http://dx.doi.org/10.32604/cmc.2022.026070.

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7

Yin Tan, Lyk, Hock Guan Goh, Soung-Yue Liew, and Shen Khang Teoh. "An Energy-Efficient Mobile-Sink Path-Finding Strategy for UAV WSNs." Computers, Materials & Continua 67, no. 3 (2021): 3419–132. http://dx.doi.org/10.32604/cmc.2021.015402.

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8

Kancharla, Alekhya. "Load Balancing in Mobile Sink Path Strategy for Wireless Sensor Network." International Journal for Research in Applied Science and Engineering Technology 6, no. 6 (2018): 486–91. http://dx.doi.org/10.22214/ijraset.2018.6075.

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9

Yang, Guisong, Zhiwei Peng, and Xingyu He. "Data Collection Based on Opportunistic Node Connections in Wireless Sensor Networks." Sensors 18, no. 11 (2018): 3697. http://dx.doi.org/10.3390/s18113697.

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The working–sleeping cycle strategy used for sensor nodes with limited power supply in wireless sensor networks can effectively save their energy, but also causes opportunistic node connections due to the intermittent communication mode, which can affect the reliability of data transmission. To address this problem, a data collection scheme based on opportunistic node connections is proposed to achieve efficient data collection in a network with a mobile sink. In this scheme, the mobile sink first broadcasts a tag message to start a data collection period, and all nodes that receive this messa
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10

Liu, Yi, Yi Zhu, and Shu Yan. "The Research of Sink Mobile Strategy based on Gravitational Field in WSN." Research Journal of Applied Sciences, Engineering and Technology 5, no. 15 (2013): 3992–95. http://dx.doi.org/10.19026/rjaset.5.4466.

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