NDLI: Solving Priority-Based Target Coverage Problem in Directional Sensor Networks with Adjustable Sensing Ranges

Content Provider	Springer Nature Link
Author	Razali, Mohd rsyarizad Salleh, Shaharuddin Mohamadi, Hosein
Copyright Year	2016
Abstract	The extensive applications of directional sensor networks (DSNs) in a wide range of situations have recently attracted a great deal of attention. DSNs primarily operate based on simultaneously observing a group of events (targets) occurring in a set area and maximizing network lifetime, as there are limitations to the directional sensors’ sensing angle and battery power. The higher the number of sensing ranges of the sensors and the more different the coverage requirements for the targets, the more complex this issue will be. Also known as priority-based target coverage with adjustable sensing ranges (PTCASR), this issue, which has not yet been investigated in the field of study, is the highlight of this research. A potential solution to this problem, based on the fact that sensors are frequently densely deployed, would be to organize the sensors into a few cover sets. After that the cover sets needs to be successively activated—this process is referred to as the scheduling technique. This paper aims to resolve the issue of PTCASR with the proposal of two scheduling algorithms i.e. greedy-based and learning automata-based algorithms. These proposed algorithms were assessed for their performance via a number of experiments. Additionally, the effect of each algorithm on maximizing network lifetime was also investigated via a comparative study. Both algorithms were successful in solving the problem; however, the learning automata-based scheduling algorithm proved relatively superior to the greedy-based algorithm when it came to extending network lifetime.
Starting Page	847
Ending Page	872
Page Count	26
File Format	PDF
ISSN	09296212
Journal	Wireless Personal Communications
Volume Number	95
Issue Number	2
e-ISSN	1572834X
Language	English
Publisher	Springer US
Publisher Date	2016-10-05
Publisher Place	New York
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Directional sensor networks Cover set formation Scheduling algorithms Greedy-based algorithm Learning automata Communications Engineering, Networks Signal,Image and Speech Processing Computer Communication Networks
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
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

A Learning Automata-Based Solution to the Priority-Based Target Coverage Problem in Directional Sensor Networks

Learning Automata-Based Algorithms for Solving the Target Coverage Problem in Directional Sensor Networks

Solving Target Coverage Problem Using Cover Sets in Wireless Sensor Networks Based on Learning Automata

Improved Memetic Algorithm for Energy Efficient Sensor Scheduling with Adjustable Sensing Range

Priority-based target coverage in directional sensor networks

A learning automata-based algorithm for solving coverage problem in directional sensor networks

A Target Coverage Scheduling Scheme Based on Genetic Algorithms in Directional Sensor Networks

Scheduling algorithms for extending directional sensor network lifetime

Average Case Network Lifetime on an Interval with Adjustable Sensing Ranges

Solving Priority-Based Target Coverage Problem in Directional Sensor Networks with Adjustable Sensing Ranges

Similar Documents

A Learning Automata-Based Solution to the Priority-Based Target Coverage Problem in Directional Sensor Networks

Learning Automata-Based Algorithms for Solving the Target Coverage Problem in Directional Sensor Networks

Solving Target Coverage Problem Using Cover Sets in Wireless Sensor Networks Based on Learning Automata

Improved Memetic Algorithm for Energy Efficient Sensor Scheduling with Adjustable Sensing Range

Priority-based target coverage in directional sensor networks

A learning automata-based algorithm for solving coverage problem in directional sensor networks

A Target Coverage Scheduling Scheme Based on Genetic Algorithms in Directional Sensor Networks

Scheduling algorithms for extending directional sensor network lifetime

Average Case Network Lifetime on an Interval with Adjustable Sensing Ranges

Solving Priority-Based Target Coverage Problem in Directional Sensor Networks with Adjustable Sensing Ranges