Dynamic Path Planning Design for Mobile Sink with Burst Traffic in a Region of WSN

Joint Authors

Zhang, Ling
Wan, Cheng

Source

Wireless Communications and Mobile Computing

Issue

Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-8, 8 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2019-02-03

Country of Publication

Egypt

No. of Pages

8

Main Subjects

Information Technology and Computer Science

Abstract EN

In mobile wireless sensor networks, priori-trail planning for the mobile sink is a commonly used solution to data collection from the whole network, for its low protocol overhead.

However, these trail-based approaches lack efficient load balance mechanism to handle burst WSN traffic, which needs to be sent to the base station correctly with low delay.

This paper proposed a dynamic path planning for mobile sink to balance load and avoid traffic bottleneck.

It contains grid partition of the network, priori-trail creation, burst-traffic awareness and estimation, resources collaborative strategy, and dynamic routing adjustment.

Experiments on NS-2 platform show that the proposed algorithm can efficiently balance the regular and burst data traffic with a low-delay and low loss rate performance of the network.

American Psychological Association (APA)

Zhang, Ling& Wan, Cheng. 2019. Dynamic Path Planning Design for Mobile Sink with Burst Traffic in a Region of WSN. Wireless Communications and Mobile Computing،Vol. 2019, no. 2019, pp.1-8.
https://search.emarefa.net/detail/BIM-1212041

Modern Language Association (MLA)

Zhang, Ling& Wan, Cheng. Dynamic Path Planning Design for Mobile Sink with Burst Traffic in a Region of WSN. Wireless Communications and Mobile Computing No. 2019 (2019), pp.1-8.
https://search.emarefa.net/detail/BIM-1212041

American Medical Association (AMA)

Zhang, Ling& Wan, Cheng. Dynamic Path Planning Design for Mobile Sink with Burst Traffic in a Region of WSN. Wireless Communications and Mobile Computing. 2019. Vol. 2019, no. 2019, pp.1-8.
https://search.emarefa.net/detail/BIM-1212041

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1212041