Monitoring for Rare Events in a Wireless Powered Communication mmWave Sensor Network
The use of a wireless sensor network to monitor an area of interest for possible hazardous events has become a common practice. The difficulty of replacing or recharging sensor batteries dictates the use of energy harvesting as a means to extend the network’s lifetime. To this end, energy beamformin...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2020-06-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/20/12/3341 |
| _version_ | 1827715192822169600 |
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| author | Michael Koutsioumpos Evangelos Zervas Efstathios Hadjiefthymiades Lazaros Merakos |
| author_facet | Michael Koutsioumpos Evangelos Zervas Efstathios Hadjiefthymiades Lazaros Merakos |
| author_sort | Michael Koutsioumpos |
| collection | DOAJ |
| description | The use of a wireless sensor network to monitor an area of interest for possible hazardous events has become a common practice. The difficulty of replacing or recharging sensor batteries dictates the use of energy harvesting as a means to extend the network’s lifetime. To this end, energy beamforming is used in a millimeter wave wireless power sensor network with randomly deployed nodes. A simple protocol is proposed that allows nodes to report their charging conditions in an effort to select efficient energy-beamforming strategies. Analytical expressions for the probability of successful information reception and successful reporting are provided for two benchmark schemes: the random and the circular energy-beamforming scheme. A Markov chain is used for the former to model the energy level of sensor nodes. Simple sector selection strategies are presented and their performance, in terms of delay and failure information delivery, is assessed through simulations. |
| first_indexed | 2024-03-10T19:12:59Z |
| format | Article |
| id | doaj.art-60b6e61f38484c51b9c7f9d4ade53b3a |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-10T19:12:59Z |
| publishDate | 2020-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-60b6e61f38484c51b9c7f9d4ade53b3a2023-11-20T03:37:07ZengMDPI AGSensors1424-82202020-06-012012334110.3390/s20123341Monitoring for Rare Events in a Wireless Powered Communication mmWave Sensor NetworkMichael Koutsioumpos0Evangelos Zervas1Efstathios Hadjiefthymiades2Lazaros Merakos3Deptament of Informatics and Telecommunications, National and Kapodistrian University of Athens, 157 72 Athens, GreeceDeptament of Electrical and Electronics Engineering, University of West Attica, 122 44 Egaleo, GreeceDeptament of Informatics and Telecommunications, National and Kapodistrian University of Athens, 157 72 Athens, GreeceDeptament of Informatics and Telecommunications, National and Kapodistrian University of Athens, 157 72 Athens, GreeceThe use of a wireless sensor network to monitor an area of interest for possible hazardous events has become a common practice. The difficulty of replacing or recharging sensor batteries dictates the use of energy harvesting as a means to extend the network’s lifetime. To this end, energy beamforming is used in a millimeter wave wireless power sensor network with randomly deployed nodes. A simple protocol is proposed that allows nodes to report their charging conditions in an effort to select efficient energy-beamforming strategies. Analytical expressions for the probability of successful information reception and successful reporting are provided for two benchmark schemes: the random and the circular energy-beamforming scheme. A Markov chain is used for the former to model the energy level of sensor nodes. Simple sector selection strategies are presented and their performance, in terms of delay and failure information delivery, is assessed through simulations.https://www.mdpi.com/1424-8220/20/12/3341wireless powered communication network (WPCN)energy beamformingmmWave sensor network |
| spellingShingle | Michael Koutsioumpos Evangelos Zervas Efstathios Hadjiefthymiades Lazaros Merakos Monitoring for Rare Events in a Wireless Powered Communication mmWave Sensor Network Sensors wireless powered communication network (WPCN) energy beamforming mmWave sensor network |
| title | Monitoring for Rare Events in a Wireless Powered Communication mmWave Sensor Network |
| title_full | Monitoring for Rare Events in a Wireless Powered Communication mmWave Sensor Network |
| title_fullStr | Monitoring for Rare Events in a Wireless Powered Communication mmWave Sensor Network |
| title_full_unstemmed | Monitoring for Rare Events in a Wireless Powered Communication mmWave Sensor Network |
| title_short | Monitoring for Rare Events in a Wireless Powered Communication mmWave Sensor Network |
| title_sort | monitoring for rare events in a wireless powered communication mmwave sensor network |
| topic | wireless powered communication network (WPCN) energy beamforming mmWave sensor network |
| url | https://www.mdpi.com/1424-8220/20/12/3341 |
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