COVERAGE IMPROVEMENT USING GLA (GENETIC LEARNING AUTOMATA) ALGORITHM IN WIRELESS SENSOR NETWORKS

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

KHEZRI SHIRIN; OSMANI AMJAD; ESLAMNOUR BEHDIS

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: JOURNAL OF ADVANCES IN COMPUTER RESEARCH Year:2015 | Volume:6 | Issue:3 (21) Page(s): 107-124

Download Full-Text

View:

406

Download:

181

Cites:

Information Journal Paper

Title

COVERAGE IMPROVEMENT USING GLA (GENETIC LEARNING AUTOMATA) ALGORITHM IN WIRELESS SENSOR NETWORKS

Author(s)

KHEZRI SHIRIN | OSMANI AMJAD | ESLAMNOUR BEHDIS | Issue Writer Certificate

Keywords

GENETIC ALGORITHMS

LEARNING AUTOMATA

WIRELESS SENSOR NETWORKS

SENSOR DEPLOYMENT

Abstract

Coverage improvement is one of the main problems in WIRELESS SENSOR NETWORKS. Given a finite number of sensors, improvement of the SENSOR DEPLOYMENT will provide sufficient sensor coverage and save cost of sensors for locating in grid points. For achieving good coverage, the sensors should be placed in adequate places. This paper uses the genetic and LEARNING AUTOMATA as intelligent methods for solving the blanket sensor placement. In this paper an NP-complete problem for arbitrary sensor fields is described which is one of the most important issues in the research fields, so the proposed algorithm is going to solve this problem by considering two factors: first, the complete coverage and second, the minimum used sensors. The proposed method is examined in different areas using MATLAB. The results confirm the successes of using this new method in sensor placement; also they show that the new method is more efficient than other methods like FAPBIL and MDPSO in large areas

Cites

No record.

References

Cite

APA: Copy

KHEZRI, SHIRIN, OSMANI, AMJAD, & ESLAMNOUR, BEHDIS. (2015). COVERAGE IMPROVEMENT USING GLA (GENETIC LEARNING AUTOMATA) ALGORITHM IN WIRELESS SENSOR NETWORKS. JOURNAL OF ADVANCES IN COMPUTER RESEARCH, 6(3 (21)), 107-124. SID. https://sid.ir/paper/328807/en

Vancouver: Copy

KHEZRI SHIRIN, OSMANI AMJAD, ESLAMNOUR BEHDIS. COVERAGE IMPROVEMENT USING GLA (GENETIC LEARNING AUTOMATA) ALGORITHM IN WIRELESS SENSOR NETWORKS. JOURNAL OF ADVANCES IN COMPUTER RESEARCH[Internet]. 2015;6(3 (21)):107-124. Available from: https://sid.ir/paper/328807/en

IEEE: Copy

SHIRIN KHEZRI, AMJAD OSMANI, and BEHDIS ESLAMNOUR, “COVERAGE IMPROVEMENT USING GLA (GENETIC LEARNING AUTOMATA) ALGORITHM IN WIRELESS SENSOR NETWORKS,” JOURNAL OF ADVANCES IN COMPUTER RESEARCH, vol. 6, no. 3 (21), pp. 107–124, 2015, [Online]. Available: https://sid.ir/paper/328807/en

Related Journal Papers

No record.

Related Seminar Papers

No record.

Related Plans

No record.

Recommended Workshops