An estimated Hungarian method for data forwarding problem in underwater wireless sensor networks

Jing Wen, Dongwei Li, Linfeng Liu and Jiabin Yuan

International Journal of Distributed Sensor Networks, 2018, vol. 14, issue 5, 1550147718772538

Abstract: With the increasing concern over marine applications in recent years, the technology of underwater wireless sensor networks has received considerable attention. In underwater wireless sensor networks, the gathered data are sent to terrestrial control center through multi-hops for further processing. Underwater wireless sensor networks usually consist of three types of nodes: ordinary nodes, anchor nodes, and sink nodes. The data messages are transferred from an ordinary node or an anchored node to one of the sink nodes by discrete hops. Data forwarding algorithms are at the core position of underwater wireless sensor networks, which determines data in what way to forward. However, the existing data forwarding algorithms all have problems that transmission delay is too high and delivery ratio is low. Thus, we propose a data forwarding algorithm based on estimated Hungarian method to improve delivery ratio and reduce transmission delay. The estimated Hungarian method is applied to solve the assignment problem in data forwarding process, where the anchor nodes receive the forwarding requests from ordinary nodes and optimize the waiting queue. By applying this method in underwater wireless sensor networks, data forwarding has great advantages in success rate and transmission delay, which has been validated by both analysis and simulation results.

Keywords: Underwater wireless sensor networks; data forwarding; estimated Hungarian method (search for similar items in EconPapers)
Date: 2018
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
https://journals.sagepub.com/doi/10.1177/1550147718772538 (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:sae:intdis:v:14:y:2018:i:5:p:1550147718772538

DOI: 10.1177/1550147718772538

Access Statistics for this article

More articles in International Journal of Distributed Sensor Networks
Bibliographic data for series maintained by SAGE Publications ().