NDLI: WDAT-OMS: A two-level scheme for efficient data gathering in mobile-sink wireless sensor networks using compressive sensing theory

Content Provider	IET Digital Library
Author	Tirani, Shima Pakdaman Avokh, Avid Azar, Sahebeh
Abstract	This study addresses the problems of energy and delay in wireless sensor networks equipped with mobile sinks. The authors jointly consider the compressive sensing (CS) theory, cluster-based routing, and sink mobility to propose a data collection method named ‘weighted data aggregation trees with optimal mobile sink(s) (WDAT-OMS)’. The proposed scheme relies on a two-level architecture in which sensors are clustered at the first level. WDAT-OMS uses the CS theory along with load-balanced data aggregation trees to route packets from sensors to the corresponding cluster heads (CHs). In this regard, they present an efficient metric named ‘energy-and distance-aware CH selection’ to fairly distribute the energy consumption among different sensors. At the second level, one or more sinks traverse the network to collect the aggregated data of CHs. As an advantage, WDAT-OMS not only balances the energy consumption among different sensors but also increases the network scalability. Numerical results demonstrate that the proposed algorithm reduces energy consumption in comparison with ‘centralised clustering algorithm’, ‘energy-aware CS-based data aggregation’, and ‘energy-balanced high-level data aggregation tree ‘by 66%, 62%, and 63% for an average number of clusters, respectively. It also decreases the sink delay in comparison with the ‘single-hop data-gathering problem’ by 10%.
Starting Page	1826
Ending Page	1837
Page Count	12
ISSN	17518628
Volume Number	14
e-ISSN	17518636
Issue Number	Issue 11, Jul (2020)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-com/14/11
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-com.2019.0433
Journal	IET Communications
Publisher Date	2020-04-06
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Centralised Clustering Algorithm Cluster Heads Cluster-based Routing Combinatorial Mathematics Communication Network Design, Planning And Routing Compressed Sensing Compressive Sensing Theory CS Theory Data Aggregation Data Collection Method Efficient Data Gathering Energy Consumption Energy-aware CS-based Data Aggregation Energy-balanced High-level Data Aggregation Tree Load-balanced Data Aggregation Trees Mathematics Mobile Radio Mobile Radio System Mobile-sink Wireless Sensor Network Mobility Management Network Scalability Pattern Clustering Protocol Resource Allocation Signal Processing And Detection Single-hop Data-gathering Problem Sink Delay Sink Mobility Telecommunication Network Routing Trees Two-level Architecture Two-level Scheme WDAT-OMS Weighted Data Aggregation Trees with Optimal Mobile Sink Wireless Sensor Network
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering Computer Science Applications

Sl.	Authority	Responsibilities	Communication Details
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
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
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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