INTELLIGENT TARGET TRACKING IN WIRELESS VISUAL 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.

Sabokrou Mohammad; FATHY MAHMOOD; HOSSEINI MOJTABA

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

Seminar Paper

Paper Information

Seminar: INTERNATIONAL CONFERENCE ON COMPUTER AND KNOWLEDGE ENGINEERING (ICCKE)
Year:2014 | Issue:4

Download Full-Text

View:

168

Download:

Information Seminar Paper

Title

INTELLIGENT TARGET TRACKING IN WIRELESS VISUAL SENSOR NETWORKS

Author(s)

Sabokrou Mohammad | FATHY MAHMOOD | HOSSEINI MOJTABA

Keywords

TARGET TRACKING

WIRELESS SENSOR NETWORKS

INTELLIGENT ALGORITHM

COVERAGE

ENERGY CONSUMPTION

Abstract

IN THIS PAPER, A NEW TARGET TRACKING METHOD IS PROPOSED IN WIRELESS VISUAL SENSOR NETWORKS (WVSN) USING TARGET MOVEMENT PREDICTION. TWO IMPORTANT CRITERIA IN THIS REGARD ARE ACCURACY OF TRACKING AND EFFICIENT ENERGY CONSUMPTION. BECAUSE THERE IS A DIRECT RELATIONSHIP BETWEEN THE AMOUNT OF COVERAGE AND ACCURACY TRACKING, AN EVOLUTIONARY ALGORITHM (EA) IS USED AS PRE-PROCESSING TO INCREASE THE COVERAGE PERCENTAGE. THEN, A NEURAL NETWORKBASED APPROACH USING HISTORY OF TARGET MOVEMENTS ARE PRESENTED TO PREDICT THE PATH OF THE TARGET. COMPUTER SIMULATIONS SHOWED IMPROVEMENT IN TRACKING ACCURACY, CONFIGURATION OF WVSN COST AND ENERGY CONSERVATION. THE IMPORTANT ADVANTAGE OF THIS APPROACH IS THE CAPABILITY OF TRACKING IN AN ENVIRONMENT, WHICH IS NOT COVERED COMPLETELY.

Cites

No record.

References

No record.

Cite

APA: Copy

Sabokrou, Mohammad, FATHY, MAHMOOD, & HOSSEINI, MOJTABA. (2014). INTELLIGENT TARGET TRACKING IN WIRELESS VISUAL SENSOR NETWORKS. INTERNATIONAL CONFERENCE ON COMPUTER AND KNOWLEDGE ENGINEERING (ICCKE). SID. https://sid.ir/paper/926136/en

Vancouver: Copy

Sabokrou Mohammad, FATHY MAHMOOD, HOSSEINI MOJTABA. INTELLIGENT TARGET TRACKING IN WIRELESS VISUAL SENSOR NETWORKS. 2014. Available from: https://sid.ir/paper/926136/en

IEEE: Copy

Mohammad Sabokrou, MAHMOOD FATHY, and MOJTABA HOSSEINI, “INTELLIGENT TARGET TRACKING IN WIRELESS VISUAL SENSOR NETWORKS,” presented at the INTERNATIONAL CONFERENCE ON COMPUTER AND KNOWLEDGE ENGINEERING (ICCKE). 2014, [Online]. Available: https://sid.ir/paper/926136/en

Related Journal Papers

No record.

Related Seminar Papers

No record.

Related Plans

No record.

Recommended Workshops