Biological Task Mapping and Scheduling in Wireless Sensor Networks

Author

Hamouda, Y.E.M. ; Phillips, Chris

Author_Institution

Sch. of Electron. Eng. & Comput. Sci., Queen Mary Univ. of London, London, UK

fYear

2009

fDate

16-18 Oct. 2009

Firstpage

914

Lastpage

919

Abstract

The increasingly complex roles for which wireless sensor networks (WSNs) are being employed have driven the desire for autonomic self-organized capabilities for coordinated network operation. A biological task mapping and scheduling (BTMS) algorithm is presented in this paper to execute an application using a group of nodes. BTMS is inspired from biological behaviors of differentiation in zygote formation. Simulation results show that BTMS leads to improved network lifetime, energy consumption and service time compared with other commonly used algorithms.

Keywords

differentiation; energy consumption; scheduling; wireless sensor networks; autonomic self-organized capability; biological task mapping; coordinated network operation; differentiation; energy consumption; network lifetime; scheduling; service time; wireless sensor networks; zygote formation; Biological system modeling; Energy consumption; Intelligent networks; Military computing; Peer to peer computing; Processor scheduling; Scheduling algorithm; Target tracking; Wireless communication; Wireless sensor networks; Wireless Sensor Networks; biological behaviors; task mapping and scheduling;

fLanguage

English

Publisher

ieee

Conference_Titel

Communications Technology and Applications, 2009. ICCTA '09. IEEE International Conference on

Conference_Location

Beijing

Print_ISBN

978-1-4244-4816-6

Electronic_ISBN

978-1-4244-4817-3

Type

conf

DOI

10.1109/ICCOMTA.2009.5349058

Filename

5349058