A resource allocation algorithm for cluster-based cooperative MIMO in Wireless Sensor Networks

Author

Wen, Xiaojun ; Laurenson, D.L.

Author_Institution

Sch. of Eng. & Electron., Univ. of Edinburgh, Edinburgh, UK

fYear

2009

fDate

12-14 Oct. 2009

Firstpage

1

Lastpage

6

Abstract

Energy efficiency is a considerable criterion in design of wireless sensor networks. MIMO technology has the potential of supporting a higher data rate under a lower power budget and bit-error-rate, which makes cooperative MIMO in WSNs a popular research topic. This paper investigates a cluster-based time division cooperative MIMO communication system for WSNs. An optimum algorithm for the power and time allocation for an intra-cluster and inter-cluster slot has been proposed. By introducing two adjusting parameters for the energy and the time slot respectively, this algorithm is designed to achieve the maximum data throughput for one single-hop and at the same time remain within the tolerance of the outage probability requirement. Performance of different STBC schemes using such an optimum algorithm and the SISO transmission method are compared by simulation.

Keywords

MIMO communication; error statistics; wireless sensor networks; SISO transmission method; STBC schemes; WSN; bit error rate; cluster-based time division cooperative MIMO communication system; energy efficiency; intercluster slot; intracluster slot; multiple-input multiple-output system; outage probability; power allocation; resource allocation algorithm; time allocation; wireless sensor networks; Algorithm design and analysis; Clustering algorithms; Energy efficiency; Intelligent sensors; MIMO; Relays; Resource management; Spread spectrum communication; Throughput; Wireless sensor networks; cooperative MIMO; inter-cluster slot; intra-cluster slot; outage probability;

fLanguage

English

Publisher

ieee

Conference_Titel

Ultra Modern Telecommunications & Workshops, 2009. ICUMT '09. International Conference on

Conference_Location

St. Petersburg

Print_ISBN

978-1-4244-3942-3

Electronic_ISBN

978-1-4244-3941-6

Type

conf

DOI

10.1109/ICUMT.2009.5345559

Filename

5345559