Yes / 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 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 paper is focussed 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. / European Union’s Horizon 2020 research and innovation programme under grant agreement H2020-MSCA-ITN-2016 SECRET-722424.
| Identifer | oai:union.ndltd.org:BRADFORD/oai:bradscholars.brad.ac.uk:10454/17800 |
| Date | 01 May 2020 |
| Creators | Al-Behadili, H., AlWane, S., Al-Yasir, Yasir I.A., Ojaroudi Parchin, Naser, Olley, Peter, Abd-Alhameed, Raed |
| Publisher | IET Digital Library |
| Source Sets | Bradford Scholars |
| Language | English |
| Detected Language | English |
| Type | Article, Accepted manuscript |
| Rights | This paper is a postprint of a paper submitted to and accepted for publication in IET Wireless Sensor Systems and is subject to Institution of Engineering and Technology Copyright. The copy of record is available at IET Digital Library. |
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