A sustainable scheme for minimizing energy in visual sensor network using disjoint set cover approach

Joint Authors

Wheedd, Bassam M. S
Hashim, Shuruq Abbud
Jawad, Muna M.

Source

Engineering and Technology Journal

Issue

Vol. 38, Issue 12A (31 Dec. 2020), pp.1818-1831, 14 p.

Publisher

University of Technology

Publication Date

2020-12-31

Country of Publication

Iraq

No. of Pages

14

Main Subjects

Engineering Sciences and Information Technology

Topics

Abstract EN

Directional sensors in wireless visual sensor networks attractgrowing attention as a promising tool for monitoring the real world; directional sensors consume energy for two main tasks: sensing and communication.

Since a VSN contains a number of configurable visual sensors with changeable spherical sectors of restricted angle known as a field of view that isintended to monitor a number of targets located in a random manner over a given area.

Therefore maximizing the network lifetime through minimizing power consumption while covering the targets remains a challenge.

In this paper, the problem of obtaining a disjoint set cover includes a minimum number of camera sensors is solved.

The problem is known to be NP-complete.

The sustainable design is improving an existing Iterative Target Oriented Algorithm (ITOA) to cover moving targets move randomly over a given area of deployment starting from entry points reaching to exit ones in a realistic simulation.

To evaluate the performance of the modified algorithm, a comparison is provided with three existing algorithms (Iterative centralized Greedy Algorithm (ICGA), Iterative Centralized Forced-directed Algorithm ICFA, and Iterative Target Oriented Algorithm ITOA).

Simulation results revealed that the sustainable scheme can find a disjoint set witha minimum number of sensors covers the maximum number of moving targets in an energy-efficient way and extended network lifetime through minimizing power consumption while covering the targets remains a challenge.

In this paper, the problem of obtaining a disjoint set cover includes a minimum number of camera sensors is solved.

The problem is known to be NP-complete.

The sustainable design is improving an existing Iterative Target Oriented Algorithm (ITOA) to cover moving targets move randomly over a given area of deployment starting from entry points reaching to exit ones in a realistic simulation.

To evaluate the performance of the modified algorithm, a comparison is provided with three existing algorithms (Iterative centralized Greedy Algorithm (ICGA), Iterative Centralized Forced-directed Algorithm ICFA, and Iterative Target Oriented Algorithm ITOA).

Simulation results revealed that the sustainable scheme can find a disjoint set witha minimum number of sensors covers the maximum number of moving targets in an energy-efficient way and extended network lifetime.

American Psychological Association (APA)

Hashim, Shuruq Abbud& Jawad, Muna M.& Wheedd, Bassam M. S. 2020. A sustainable scheme for minimizing energy in visual sensor network using disjoint set cover approach. Engineering and Technology Journal،Vol. 38, no. 12A, pp.1818-1831.
https://search.emarefa.net/detail/BIM-1020850

Modern Language Association (MLA)

Wheedd, Bassam M. S…[et al.]. A sustainable scheme for minimizing energy in visual sensor network using disjoint set cover approach. Engineering and Technology Journal Vol. 38, no. 12A (2020), pp.1818-1831.
https://search.emarefa.net/detail/BIM-1020850

American Medical Association (AMA)

Hashim, Shuruq Abbud& Jawad, Muna M.& Wheedd, Bassam M. S. A sustainable scheme for minimizing energy in visual sensor network using disjoint set cover approach. Engineering and Technology Journal. 2020. Vol. 38, no. 12A, pp.1818-1831.
https://search.emarefa.net/detail/BIM-1020850

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references : p. 1830-1831

Record ID

BIM-1020850