A Graph-based Strategic Sensor Deployment Approach for k-coverage in WSN
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arXiv
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| Main Authors: | , , |
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| Format: | Preprint |
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2024
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| _version_ | 1866912120383209472 |
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| author | Sau, Lakshmikanta Mukherjee, Priyadarshi Ghosh, Sasthi C. |
| author_facet | Sau, Lakshmikanta Mukherjee, Priyadarshi Ghosh, Sasthi C. |
| contents | This paper studies a graph-based sensor deployment approach in wireless sensor networks (WSNs). Specifically, in today's world, where sensors are everywhere, detecting various attributes like temperature and movement, their deteriorating lifetime is indeed a very concerning issue. In many scenarios, these sensors are placed in extremely remote areas, where maintenance becomes challenging. As a result, it is not very wise to depend on a single sensor to obtain data from a particular terrain or place. Hence, multiple sensors are deployed in these places, such that no problem arises if one or few of them fail. In this work, this problem of intelligent placement of sensors is modelled from the graph theoretic point of view. We propose a new sensor deployment approach here, which results in lesser sensor density per unit area and less number of sensors as compared to the existing benchmark schemes. Finally, the numerical results also support our claims and provide insights regarding the selection of parameters that enhance the system performance. |
| format | Preprint |
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arxiv_https___arxiv_org_abs_2411_09913 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | A Graph-based Strategic Sensor Deployment Approach for k-coverage in WSN Sau, Lakshmikanta Mukherjee, Priyadarshi Ghosh, Sasthi C. Systems and Control Networking and Internet Architecture This paper studies a graph-based sensor deployment approach in wireless sensor networks (WSNs). Specifically, in today's world, where sensors are everywhere, detecting various attributes like temperature and movement, their deteriorating lifetime is indeed a very concerning issue. In many scenarios, these sensors are placed in extremely remote areas, where maintenance becomes challenging. As a result, it is not very wise to depend on a single sensor to obtain data from a particular terrain or place. Hence, multiple sensors are deployed in these places, such that no problem arises if one or few of them fail. In this work, this problem of intelligent placement of sensors is modelled from the graph theoretic point of view. We propose a new sensor deployment approach here, which results in lesser sensor density per unit area and less number of sensors as compared to the existing benchmark schemes. Finally, the numerical results also support our claims and provide insights regarding the selection of parameters that enhance the system performance. |
| title | A Graph-based Strategic Sensor Deployment Approach for k-coverage in WSN |
| topic | Systems and Control Networking and Internet Architecture |
| url | https://arxiv.org/abs/2411.09913 |