Data Collection and Path Determination Strategies for Mobile Sink in 3D WSNs
Wireless sensor networks (WSNs) are composed with a set of sensor nodes, and its primary task is to sense and relay the data to the base station or sink. Sensor nodes are equipped with a limited battery, and more energy is consumed due to the relay of the data. While relaying on more data, nodes nea...
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IEEE Xplore
2020
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oai:localhost:DHTL-98562020-12-04T08:53:43Z Data Collection and Path Determination Strategies for Mobile Sink in 3D WSNs Donta, Praveen Kumar Rao, Banoth Sanjai Prasada Amgoth, Tarachand Annavarapu, Chandra Sekhara Rao Swain, Silpamayee Wireless Sensor Networks Hierarchical Agglomerative Clustering Data Collection Mobile Sink 3- dimensional Path selection Wireless sensor networks (WSNs) are composed with a set of sensor nodes, and its primary task is to sense and relay the data to the base station or sink. Sensor nodes are equipped with a limited battery, and more energy is consumed due to the relay of the data. While relaying on more data, nodes near to the base station will die soon and result in energy-hole or hotspot problem. A mobile sink has been introduced to collect the data from the nodes to avoid the hotspot problem. Several data collection algorithms have been proposed for 2D WSNs; however, these algorithms do not meet the requirements of the 3D WSNs due to its variations in topology, connectivity, coverage, scalability, etc. Therefore, the selection of mobile sink visiting points called rendezvous points (RPs), and path determination between then in 3D WSNs is a challenging task. In this paper, we determine the optimal RPs in 3D WSNs using unsupervised learning-based hierarchical agglomerative clustering. Further, we propose an algorithm for path determination between the RPs with minimal computational overhead. The simulation runs show that the proposed method finds the near-optimal set of RPs and path of the mobile sink while enhancing the network lifetime. https://doi.org/10.1109/JSEN.2019.2949146 2020-12-04T08:52:37Z 2020-12-04T08:52:37Z 2019 BB http://tailieuso.tlu.edu.vn/handle/DHTL/9856 en IEEE Sensors Journal, (2019), pp 10 application/pdf IEEE Xplore |
| institution |
Trường Đại học Thủy Lợi |
| collection |
DSpace |
| language |
English |
| topic |
Wireless Sensor Networks Hierarchical Agglomerative Clustering Data Collection Mobile Sink 3- dimensional Path selection |
| spellingShingle |
Wireless Sensor Networks Hierarchical Agglomerative Clustering Data Collection Mobile Sink 3- dimensional Path selection Donta, Praveen Kumar Data Collection and Path Determination Strategies for Mobile Sink in 3D WSNs |
| description |
Wireless sensor networks (WSNs) are composed with a set of sensor nodes, and its primary task is to sense and relay the data to the base station or sink. Sensor nodes are equipped with a limited battery, and more energy is consumed due to the relay of the data. While relaying on more data, nodes near to the base station will die soon and result in energy-hole or hotspot problem. A mobile sink has been introduced to collect the data from the nodes to avoid the hotspot problem. Several data collection algorithms have been proposed for 2D WSNs; however, these algorithms do not meet the requirements of the 3D WSNs due to its variations in topology, connectivity, coverage, scalability, etc. Therefore, the selection of mobile sink visiting points called rendezvous points (RPs), and path determination between then in 3D WSNs is a challenging task. In this paper, we determine the optimal RPs in 3D WSNs using unsupervised learning-based hierarchical agglomerative clustering. Further, we propose an algorithm for path determination between the RPs with minimal computational overhead. The simulation runs show that the proposed method finds the near-optimal set of RPs and path of the mobile sink while enhancing the network lifetime. |
| author2 |
Rao, Banoth Sanjai Prasada |
| author_facet |
Rao, Banoth Sanjai Prasada Donta, Praveen Kumar |
| format |
BB |
| author |
Donta, Praveen Kumar |
| author_sort |
Donta, Praveen Kumar |
| title |
Data Collection and Path Determination Strategies for Mobile Sink in 3D WSNs |
| title_short |
Data Collection and Path Determination Strategies for Mobile Sink in 3D WSNs |
| title_full |
Data Collection and Path Determination Strategies for Mobile Sink in 3D WSNs |
| title_fullStr |
Data Collection and Path Determination Strategies for Mobile Sink in 3D WSNs |
| title_full_unstemmed |
Data Collection and Path Determination Strategies for Mobile Sink in 3D WSNs |
| title_sort |
data collection and path determination strategies for mobile sink in 3d wsns |
| publisher |
IEEE Xplore |
| publishDate |
2020 |
| url |
http://tailieuso.tlu.edu.vn/handle/DHTL/9856 |
| work_keys_str_mv |
AT dontapraveenkumar datacollectionandpathdeterminationstrategiesformobilesinkin3dwsns |
| _version_ |
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