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Use of multiple mobile sinks in wireless sensor networks for large‐scale areas
Author(s) -
AlBehadili Hasanain A.H.,
AlWane Saddam K.A.,
AlYasir Yasir I.A.,
Parchin Naser Ojaroudi,
Olley Peter,
AbdAlhameed Raed A.
Publication year - 2020
Publication title -
iet wireless sensor systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.433
H-Index - 27
ISSN - 2043-6394
DOI - 10.1049/iet-wss.2019.0208
Subject(s) - wireless sensor network , computer science , computer network , key distribution in wireless sensor networks , base station , energy consumption , latency (audio) , data collection , disconnection , distributed computing , wireless , wireless network , telecommunications , engineering , mathematics , law , political science , electrical engineering , statistics
Sensing coverage and network connectivity are two of the most fundamental issues to ensure that there are effective environmental sensing and robust data communication in a wireless sensor network (WSN) application. Random positioning of nodes in a WSN may result in random connectivity, which can cause a large variety of key parameters within the WSN. For example, data latency and battery lifetime can lead to the isolation of nodes, which causes a disconnection between nodes within the network. These problems can be avoided by using mobile data sinks, which travel between nodes that have connection problems. This research aims to design, test, and optimise a data collection system that addresses the isolated node problem, as well as to improve the connectivity between sensor nodes and base station, and to reduce the energy consumption simultaneously. In addition, this system will help to solve several problems such as the imbalance of delay and hotspot problems. The effort in this study is focused on the feasibility of using the proposed methodology in different applications. More ongoing experimental work will aim to provide a detailed study for advanced applications, e.g. transport systems for civil purposes.

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