Sensor-assisted multiple access protocols for wireless networks

Author

Fine, Terrence L. ; Wicker, Stephen B. ; Berger, Toby

Author_Institution

Sch. of Electr. Eng., Cornell Univ., Ithaca, NY, USA

Volume

2

fYear

1998

fDate

5-9 Oct 1998

Firstpage

1149

Abstract

This paper describes a neural network-based system for stabilizing Aloha random access networks. A grid of sensors is used to gather energy measurements for the neural network. The neural network has been trained to estimate the number of colliding users in a given slot. This information is used to set the parameters of the backoff algorithm so as to stabilize the network. This information can also be used in conjunction with steerable beam antennas to develop geographically-determined Aloha subchannels, further increasing the throughput of the system

Keywords

access protocols; cellular radio; digital radio; integrated voice/data communication; learning (artificial intelligence); neural nets; personal communication networks; sensors; telecommunication computing; time division multiple access; Aloha random access networks; TDMA; backoff algorithm parameters; colliding users; digital cellular systems; energy measurements; geographically-determined Aloha subchannels; intelligent PCS; network stabilization; neural network-based system; sensor-assisted multiple access protocols; steerable beam antennas; system throughput; voice/data wireless transmission; wireless networks; Access protocols; Directional antennas; Energy measurement; Frequency conversion; Neural networks; Throughput; Time division multiple access; Timing; Wireless application protocol; Wireless sensor networks;

fLanguage

English

Publisher

ieee

Conference_Titel

Universal Personal Communications, 1998. ICUPC '98. IEEE 1998 International Conference on

Conference_Location

Florence

ISSN

1091-8442

Print_ISBN

0-7803-5106-1

Type

conf

DOI

10.1109/ICUPC.1998.733680

Filename

733680