Market-Based Adaptive Task Scheduling for Sensor Networks

Author

Zhe, Wang ; Yujie, Yan ; Peng, Jia ; Shu, Wang

Author_Institution

Dept. of Electron. & Inf. Eng., Huazhong Univ. of Sci. & Technol.

fYear

2006

fDate

22-24 Sept. 2006

Firstpage

1

Lastpage

5

Abstract

This paper designs a microeconomic system for task scheduling in wireless sensor networks by virtue of the migration of mobile agents. Further, it proposes a market-based adaptive task scheduling algorithm, named MATS, which schedules tasks to the set of optimal nodes by adjusting the energy price of nodes and modifying the nodes´ roles. The simulation in the scenario of target tracking demonstrates that MATS is adaptable to the changing network conditions and realizes an efficient allocation of energy resources by regulating the energy consumption of nodes. Compared with the static scheduling algorithm, MA TS impressively promotes the energy efficiency at the trivial cost of tracking accuracy

Keywords

microeconomics; mobile agents; scheduling; target tracking; telecommunication computing; telecommunication network management; wireless sensor networks; MATS algorithm; market-based adaptive task scheduling; microeconomic system; mobile agent migration; resource allocation; static scheduling algorithm; target tracking; wireless sensor networks; Adaptive scheduling; Energy consumption; Energy efficiency; Energy resources; Microeconomics; Mobile agents; Resource management; Scheduling algorithm; Target tracking; Wireless sensor networks;

fLanguage

English

Publisher

ieee

Conference_Titel

Wireless Communications, Networking and Mobile Computing, 2006. WiCOM 2006.International Conference on

Conference_Location

Wuhan

Print_ISBN

1-4244-0517-3

Type

conf

DOI

10.1109/WiCOM.2006.267

Filename

4149444