NDLI: Optimising energy in distributed phenomena detection for mobile WSN

Content Provider	IET Digital Library
Author	Safia, Amany Abu Kamel, Ibrahim Aghbari, Zaher Al
Abstract	We propose an energy-aware distributed scheme, general phenomena detection, to detect phenomena in data gathered from mobile sensors. In the proposed algorithm, mobile sensors self-organise themselves into groups and elect group heads (GHs) based on the location of the phenomena. To better share, the extra battery power overhead, GHs and subsequently group membership are updated periodically (every window). Each GH gathers readings from sensors within its group and processes the data to detect possible phenomena within its geographical boundaries. Then, GHs communicate with each other to discover and report global phenomena. To further reduce the energy cost, the study proposes three optimisation strategies: the first strategy, reporting by partial participation (RPP), limits the number of participating GHs in reporting the phenomena. RPP achieved a saving in the energy cost of around 50%. The second strategy, reporting by Z-order (RZO), provides an overall short communication path between GHs by using Z-order. RZO achieved a saving of more than 35% of the required energy. The study also proposes a lazy window update strategy that is suitable for a wireless sensor network (WSN) with slow sensor speed. The proposed solutions are validated via comprehensive experiments performed on an NS2 network simulator.
Starting Page	13
Ending Page	22
Page Count	10
ISSN	20436386
Volume Number	10
e-ISSN	20436394
Issue Number	Issue 1, Feb (2020)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-wss/10/1
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-wss.2018.5161
Journal	IET Wireless Sensor Systems
Publisher Date	2019-09-17
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Battery Power Overhead Distributed Phenomena Detection Energy-aware Distributed Scheme Geographical Boundaries Global Phenomena Group Heads Group Membership Lazy Window Update Mobile Radio System Mobile Sonsor Mobile WSN NS2 Network Simulator Optimisation Optimisation Strategy Optimisation Technique Reporting by Partial Participation Reporting by Z-order RPP RZO Short Communication Path Slow Sensor Speed Wireless Sensor Network
Content Type	Text
Resource Type	Article
Subject	Industrial and Manufacturing Engineering

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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