Relevant bibliographies by topics / MOBILE SINK STRATEGY

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  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers

Academic literature on the topic 'MOBILE SINK STRATEGY'

Author: Grafiati
Published: 11 September 2023

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Journal articles on the topic "MOBILE SINK STRATEGY"

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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 (August 1, 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 the super node then it sends the data to the base station. Here, static or moving obstacles are present when the mobile sink moves the path scheduling by spanning graph. This algorithm is introduced to discovering the obstacle avoiding shortest path. The source selects the route by the updated cuckoo search algorithm. The simulation results show that the OAMPS improved the throughput and minimized the delay in the network.</span>
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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 energy consumption. In this paper, an energy efficient mobile sink path planning strategy (EEPP) is proposed. In this strategy, LEACH protocol is introduced to balance the static network energy consumption; A heuristic path optimization method is utilized to further shorten the mobile sink path and reduce network latency. Simulation results show that our algorithm has good performance on the network energy consumption balancing, thus extending the network lifetime.
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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 (January 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 will have to readjust the routes to the current position of the mobile sinks. The route re-adjustment process could result in a significant maximization in the communication cost, which boosts the total energy depletion. This paper proposes a lightweight routes re-adjustment strategy for mobile sink wireless sensor networks (LRAS-MS) aimed at minimizing communication cost and energy consumption by reducing route re-adjustment in a cluster-based WSN environment. The simulation results show a significant reduction in communication costs and extending the network lifetime while maintaining comparable low data delivery delay. </span>
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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 (July 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 in accordance with the maximum-farthest criterion, and the shortest path connecting all rendezvous points is taken as the mobile path of sink. Furthermore, the monitoring nodes employ the distance probability transmission strategy to have the transmission moment selected and the energy consumption optimized with reference to the path control information sent by the sink. The virtual potential fields and the rendezvous points are recalculated periodically according to the dynamic changes of both the node residual energy and the real-time cache. The simulation results showed that excellent transmission efficiency and network lifetime, and the combination of virtual potential field-based strategy and distance probability transmission strategy can have the fairness and real time of nodes guaranteed, thus it may meet the needs of large-scale farmland data collection.
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Mohapatra, Seli, Prafulla Kumar Behera, Prabodh Kumar Sahoo, Manoj Kumar Ojha, Chetan Swarup, Kamred Udham Singh, Saroj Kumar Pandey, Ankit Kumar, and Anjali Goswami. "Modified Ring Routing Protocol for Mobile Sinks in a Dynamic Sensor Network in Smart Monitoring Applications." Electronics 12, no. 2 (January 5, 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 network life span. Consequently, we suggested a novel, distributed advanced ring routing strategy, in this work, for the mobile wireless sensor network. Extensive simulations and performance evaluation, in comparison to previous distributed mobile approaches, reveal a 37% and 40% boost in the network throughput and end-to end delay, respectively. Additionally, the lifespan of a network is determined by the control overhead and energy demand.
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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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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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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 (June 30, 2018): 486–91. http://dx.doi.org/10.22214/ijraset.2018.6075.

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Yang, Guisong, Zhiwei Peng, and Xingyu He. "Data Collection Based on Opportunistic Node Connections in Wireless Sensor Networks." Sensors 18, no. 11 (October 30, 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 message will use the probe message to forward their own source information to the mobile sink. On receiving these probe messages, the mobile sink then constructs an opportunistic connection random graph by analyzing the source information included in them, and calculates the optimal path from itself to each node in this random graph, therefore a spanning tree could be generated with the mobile sink play as the root node, finally, it broadcasts this spanning tree so that each node could obtain an optimal path from itself to the mobile sink to forward the sensing data. In addition, a routing protocol that adapts to different nodes operating statuses is proposed to improve the reliability of data transmission. Simulation results show that the proposed scheme works better concerning the packet delivery rate, energy consumption and network lifetime.
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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 (April 25, 2013): 3992–95. http://dx.doi.org/10.19026/rjaset.5.4466.

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Dissertations / Theses on the topic "MOBILE SINK STRATEGY"

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SUGANDHA. "ENERGY EFFICIENT ROUTING IN WIRELESS SENSOR NETWORKS USING MOBILE SINK STRATEGY." Thesis, 2018. http://dspace.dtu.ac.in:8080/jspui/handle/repository/16208.

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Wireless Sensor Networks (WSN) facilitates to observe and acquire environmental information by using sensor devices with wireless communication capability. WSNs are significantly expected to apply to various applications such as monitoring of temperature, humidity in agriculture, tracking of animals. Sensor nodes have limited resource of energy like batteries and nodes are usually remain stationary after deployment. After losing their energy, it will no longer provide sensing and data processing. This can lead to a huge loss in the network due to the routing path re-allocation and failure of sensing and reporting events in the environment. Hence, energy conservation has been receiving increased attention in WSN research works. In this dissertation, the main focus is on using mobile sinks, which move around a WSN to collect data from wireless sensor nodes. By using the concept of mobile sink or base station, energy of sensor nodes can be saved for improving lifetime of network and assure better connectivity of sensing data to sink nodes. In this dissertation, we proposed a framework which uses mobile sink concept with 4 sojourn locations path patterns in addition with one centralized static sink to improve the network lifetime by diverting the load of sensor nodes to nearby static or mobile sink. Furthermore, the performance of proposed framework is compared with hierarchical network protocols named as TEEN. Simulation results demonstrated that proposed framework of sink mobility is more energy efficient and improve the network lifetime as compared to TEEN.
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Chang, Yu-Jui, and 張育瑞. "An Effective Chain Construction Strategy for Mobile Sink Based Wireless Sensor Networks." Thesis, 2010. http://ndltd.ncl.edu.tw/handle/27688137397904655135.

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碩士
朝陽科技大學
資訊與通訊系碩士班
98
The current research on routing of wireless sensor networks(WSNs) focuses on immobile sensor nodes and sinks, that limited the applications for WSNs. A wireless sensor network has sensor nodes and sinks, and the former will be fixed after being set up, the later will change its location according to the movement of the user. Most studies are difficult to handle the mobility of sinks. For this reason, this study aims to propose an effective chain construction strategy. With this strategy, the delivery distance can be limited to avoid the huge energy consumption of sensor nodes. Moreover, it is unnecessary to rebuild a topology to meet the necessary of a mobility sink. The simulation results will demonstrate our strategy is effective for energy consumption. Accordingly, it can enlarge the life-time of WSNs, especially, for large-range sensor networks.
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Book chapters on the topic "MOBILE SINK STRATEGY"

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Chen, Zhansheng, Hong Shen, Xiaofan Zhao, and Tingmei Wang. "Efficient Scheduling Strategy for Data Collection in Delay-Tolerant Wireless Sensor Networks with a Mobile Sink." In Parallel and Distributed Computing, Applications and Technologies, 15–27. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-5907-1_2.

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Yu, Jinkeun, Euihoon Jeong, Gwangil Jeon, Dae-Young Seo, and Kwangjin Park. "A Dynamic Multiagent-Based Local Update Strategy for Mobile Sinks in Wireless Sensor Networks." In Computational Science and Its Applications - ICCSA 2011, 185–96. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-21898-9_16.

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Meghanathan, Natarajan. "Data Gathering Algorithms and Sink Mobility Models for Wireless Sensor Networks." In Advances in Wireless Technologies and Telecommunication, 123–51. IGI Global, 2014. http://dx.doi.org/10.4018/978-1-4666-4715-2.ch008.

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In the first half of the chapter, the authors provide a comprehensive description of two broad categories of data gathering algorithms for wireless sensor networks: the classical energy-unaware algorithms and the modern energy-aware algorithms, as well as presented an exhaustive performance comparison of representative algorithms from both these categories. While the first half of the chapter focuses on static sink (that is located outside on the network boundary), the second half of the chapter explores the use of mobile sinks that gather data by stopping at the vicinity of the sensor nodes. As a first step, the authors investigate the performance of three different strategies to develop sink mobility models for delay and energy-efficient data gathering in static wireless sensor networks. The three strategies differ on the approach to take to determine the next stop for data gathering: randomly choosing a sensor node that is yet to be covered (Random), choose the sensor node that has the maximum number of uncovered neighbor nodes (Max-Density), and choose the sensor node that has the largest value for the product of the maximum number of uncovered neighbor nodes and the residual energy (Max-Density-Energy). Based on the simulation results, the authors recommend incorporating the random node selection-based strategy to be a better strategy for sink mobility models (with minimal deployment overhead) rather than keeping track of the number of uncovered neighbor nodes per node and the residual energy available at the nodes.
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Daneshfar, Fatemeh, and Vafa Maihami. "Distributed Learning Algorithm Applications to the Scheduling of Wireless Sensor Networks." In Mobile Computing and Wireless Networks, 1049–81. IGI Global, 2016. http://dx.doi.org/10.4018/978-1-4666-8751-6.ch045.

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Wireless Sensor Network (WSN) is a network of devices denoted as nodes that can sense the environment and communicate gathered data, through wireless medium to a sink node. It is a wireless network with low power consumption, small size, and reasonable price which has a variety of applications in monitoring and tracking. However, WSN is characterized by constrained energy because its nodes are battery-powered and energy recharging is difficult in most of applications. Also the reduction of energy consumption often introduces additional latency of data delivery. To address this, many scheduling approaches have been proposed. In this paper, the authors discuss the applicability of Reinforcement Learning (RL) towards multiple access design in order to reduce energy consumption and to achieve low latency in WSNs. In this learning strategy, an agent would become knowledgeable in making actions through interacting with the environment. As a result of rewards in response to the actions, the agent asymptotically reaches the optimal policy. This policy maximizes the long-term expected return value of the agent.
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Fombad, Charles M. "Reversing the Surging Tide towards Authoritarian Democracy in Africa." In Democracy, Elections, and Constitutionalism in Africa, 463–518. Oxford University Press, 2021. http://dx.doi.org/10.1093/oso/9780192894779.003.0017.

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The global crisis of democracy and constitutional governance is particularly manifest in Africa. Signs of authoritarian mobilization and resurgence are clearly apparent in the decline in the quality of democratic elections and governance in the last two decades. What emerges from many of the chapters in this book is that the legislative and constitutional framework for a sustainable democracy in Africa is weak; a weakness which has been aggravated by the weakness of a civil society often unable to mobilize to protect the laws, rules, and regulations that are in place. Arresting the decline in the quality of elections is a sine qua non to reviving and sustaining the present faltering progress towards a credible and sustainable culture of democracy, rule of law, and constitutionalism on the continent. It is contended that the key to reversing the surging tide towards authoritarian democracy in Africa is to enhance the legal and constitutional framework for elections to make it more robust. The chapter suggests certain critical reforms that are needed to ensure that elections are no longer used as a survival strategy in which opposition parties are kept in the game to maintain a semblance of democracy whilst autocrats hold on to power.
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Conference papers on the topic "MOBILE SINK STRATEGY"

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Zeng, Xialing. "Mobile Strategy of Sink Nodes in Multilayer Mobile Sensor Network." In 2015 2nd International Conference on Information Science and Control Engineering (ICISCE). IEEE, 2015. http://dx.doi.org/10.1109/icisce.2015.184.

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Sha, Zhou, Jia-Liang Lu, Xu Li, and Min-You Wu. "An Anti-Detection Moving Strategy for Mobile Sink." In GLOBECOM 2010 - 2010 IEEE Global Communications Conference. IEEE, 2010. http://dx.doi.org/10.1109/glocom.2010.5684043.

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Kim, Young-Hun, Keon-Taek Lee, Semin Sim, and Seung-Jae Han. "A simple myopic mobile sink strategy for wireless sensor networks." In 2011 IEEE 30th International Performance Computing and Communications Conference (IPCCC). IEEE, 2011. http://dx.doi.org/10.1109/pccc.2011.6108064.

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Yuan, Huiyong, and Jiansheng Xie. "Node deployment strategy for a mobile sink in wireless sensor networks." In 2011 IEEE 3rd International Conference on Communication Software and Networks (ICCSN). IEEE, 2011. http://dx.doi.org/10.1109/iccsn.2011.6013612.

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Sui, Yu, Xiaohui Zhang, Mengze Yu, and Jiajia Huan. "A Strategy For Relocation of The Mobile Sink in Wireless Sensor Networks." In 2019 IEEE 2nd International Conference on Automation, Electronics and Electrical Engineering (AUTEEE). IEEE, 2019. http://dx.doi.org/10.1109/auteee48671.2019.9033185.

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Kaswan, Amar, Prasanta K. Jana, and Md Azharuddin. "A delay efficient path selection strategy for mobile sink in wireless sensor networks." In 2017 International Conference on Advances in Computing, Communications and Informatics (ICACCI). IEEE, 2017. http://dx.doi.org/10.1109/icacci.2017.8125835.

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Wan, Ben-Ting, and Wen-Fang Zhang. "The Lifetime Optimization Strategy of Linear Random Wireless Sensor Networks Based on Mobile Sink." In 2014 International Conference on Wireless Communication and Sensor Network. IEEE, 2014. http://dx.doi.org/10.1109/wcsn.2014.59.

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Mehto, Anjula, Rahul Kumar Verma, and Shubhra Jain. "Efficient Trajectory Planning and Route Adjustment Strategy for Mobile Sink in WSN-assisted IoT." In 2022 IEEE Region 10 Symposium (TENSYMP). IEEE, 2022. http://dx.doi.org/10.1109/tensymp54529.2022.9864434.

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Kumar, A. Ranjith, and A. Sivagami. "Energy Aware Localized Routing in Rendezvous Point Based Mobile Sink Strategy for Wireless Sensor Networks." In 2019 Innovations in Power and Advanced Computing Technologies (i-PACT). IEEE, 2019. http://dx.doi.org/10.1109/i-pact44901.2019.8960021.

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Yongquan Chen, Yunjian Tang, Guoqing Xu, Huihuan Qian, and Yangsheng Xu. "A data gathering algorithm based on swarm intelligence and load balancing strategy for mobile sink." In 2011 9th World Congress on Intelligent Control and Automation (WCICA 2011). IEEE, 2011. http://dx.doi.org/10.1109/wcica.2011.5970666.

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