HACH: Heuristic Algorithm for Clustering Hierarchy protocol in wireless sensor networks
- Submitting institution
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London South Bank University
- Unit of assessment
- 12 - Engineering
- Output identifier
- 222480
- Type
- D - Journal article
- DOI
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10.1016/j.asoc.2017.02.016
- Title of journal
- Applied Soft Computing
- Article number
- -
- First page
- 452
- Volume
- 55
- Issue
- -
- ISSN
- 1568-4946
- Open access status
- Access exception
- Month of publication
- March
- Year of publication
- 2017
- URL
-
https://dl.acm.org/doi/abs/10.1016/j.asoc.2017.02.016
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
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2
- Research group(s)
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A - The BioEngineering Research Centre
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper presented the use of “green" algorithm, the Heuristic Algorithm for Clustering Hierarchy (HACH) to lower overhead costs and extend the lifetime of distributed and remote wireless, battery powered sensor networks. This was the first demonstration of intelligent sensor sleep enablers that prolonged network lifetime and efficiency and outperformed exemplars in the field. This work was supported by the UK Innovate grant EP/M506734/1 and resulted in a demonstrable remote sensor network for very large buildings with hard to reach sensors. A PhD student graduated with a thesis based on the work.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -