Energy-Efficient Wireless Hopping Sensor Relocation Based on Prediction of Terrain Conditions
It is inevitable for data collection that IoT sensors are distributed to interested areas. However, not only the proper placement of sensors, but also the replacement of sensors that have run out of energy is very difficult. As a remedy, wireless charging systems for IoT sensors have been researched...
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doaj-cdf753efc40e427b90f871e278188fc22020-11-25T02:03:25ZengMDPI AGElectronics2079-92922019-12-01914910.3390/electronics9010049electronics9010049Energy-Efficient Wireless Hopping Sensor Relocation Based on Prediction of Terrain ConditionsSooyeon Park0Moonseong Kim1Woochan Lee2Department of Electrical Engineering, Incheon National University, Incheon 22012, KoreaDepartment of Liberal Arts, Seoul Theological University, Bucheon 14754, KoreaDepartment of Electrical Engineering, Incheon National University, Incheon 22012, KoreaIt is inevitable for data collection that IoT sensors are distributed to interested areas. However, not only the proper placement of sensors, but also the replacement of sensors that have run out of energy is very difficult. As a remedy, wireless charging systems for IoT sensors have been researched recently, but it is apparent that the availability of charging system is limited especially for IoT sensors scattered in rugged terrain. Thus, it is important that the sensor relocation models to recover sensing holes employ energy-efficient scheme. While there are various methods in the mobile model of wireless sensors, well-known wheel-based movements in rough areas are hard to achieve. Thus, research is ongoing in various areas of the hopping mobile model in which wireless sensors jump. Many past studies about hopping sensor relocation assume that all sensor nodes are aware of entire network information throughout the network. These assumptions do not fit well to the actual environment, and they are nothing but classical theoretical research. In addition, the physical environment (sand, mud, etc.) of the area in which the sensor is deployed can change from time to time. In this paper, we overcome the theoretical-based problems of the past researches and propose a new realistic hopping sensor relocation protocol considering terrain conditions. Since the status of obstacles around the sensing hole is unknown, the success rate of the hopping sensor relocation is used to predict the condition of the surrounding environment. Also, we are confident that our team is uniquely implementing OMNeT++ (Objective Modular Network Testbed in C++) simulation in the hopping sensor relocation protocol to reflect the actual communication environment. Simulations have been performed on various obstacles for performance evaluation and analysis, and we are confident that better energy efficiency with later appearance of sensing holes can be achieved compared to well-known relocation protocols.https://www.mdpi.com/2079-9292/9/1/49mobile sensorhopping sensorrelocation protocolenergy efficient protocolinternet of things (iots)wireless sensor networks (wsns)simulation |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Sooyeon Park Moonseong Kim Woochan Lee |
spellingShingle |
Sooyeon Park Moonseong Kim Woochan Lee Energy-Efficient Wireless Hopping Sensor Relocation Based on Prediction of Terrain Conditions Electronics mobile sensor hopping sensor relocation protocol energy efficient protocol internet of things (iots) wireless sensor networks (wsns) simulation |
author_facet |
Sooyeon Park Moonseong Kim Woochan Lee |
author_sort |
Sooyeon Park |
title |
Energy-Efficient Wireless Hopping Sensor Relocation Based on Prediction of Terrain Conditions |
title_short |
Energy-Efficient Wireless Hopping Sensor Relocation Based on Prediction of Terrain Conditions |
title_full |
Energy-Efficient Wireless Hopping Sensor Relocation Based on Prediction of Terrain Conditions |
title_fullStr |
Energy-Efficient Wireless Hopping Sensor Relocation Based on Prediction of Terrain Conditions |
title_full_unstemmed |
Energy-Efficient Wireless Hopping Sensor Relocation Based on Prediction of Terrain Conditions |
title_sort |
energy-efficient wireless hopping sensor relocation based on prediction of terrain conditions |
publisher |
MDPI AG |
series |
Electronics |
issn |
2079-9292 |
publishDate |
2019-12-01 |
description |
It is inevitable for data collection that IoT sensors are distributed to interested areas. However, not only the proper placement of sensors, but also the replacement of sensors that have run out of energy is very difficult. As a remedy, wireless charging systems for IoT sensors have been researched recently, but it is apparent that the availability of charging system is limited especially for IoT sensors scattered in rugged terrain. Thus, it is important that the sensor relocation models to recover sensing holes employ energy-efficient scheme. While there are various methods in the mobile model of wireless sensors, well-known wheel-based movements in rough areas are hard to achieve. Thus, research is ongoing in various areas of the hopping mobile model in which wireless sensors jump. Many past studies about hopping sensor relocation assume that all sensor nodes are aware of entire network information throughout the network. These assumptions do not fit well to the actual environment, and they are nothing but classical theoretical research. In addition, the physical environment (sand, mud, etc.) of the area in which the sensor is deployed can change from time to time. In this paper, we overcome the theoretical-based problems of the past researches and propose a new realistic hopping sensor relocation protocol considering terrain conditions. Since the status of obstacles around the sensing hole is unknown, the success rate of the hopping sensor relocation is used to predict the condition of the surrounding environment. Also, we are confident that our team is uniquely implementing OMNeT++ (Objective Modular Network Testbed in C++) simulation in the hopping sensor relocation protocol to reflect the actual communication environment. Simulations have been performed on various obstacles for performance evaluation and analysis, and we are confident that better energy efficiency with later appearance of sensing holes can be achieved compared to well-known relocation protocols. |
topic |
mobile sensor hopping sensor relocation protocol energy efficient protocol internet of things (iots) wireless sensor networks (wsns) simulation |
url |
https://www.mdpi.com/2079-9292/9/1/49 |
work_keys_str_mv |
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