Title :
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
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;
Conference_Titel :
Universal Personal Communications, 1998. ICUPC '98. IEEE 1998 International Conference on
Conference_Location :
Florence
Print_ISBN :
0-7803-5106-1
DOI :
10.1109/ICUPC.1998.733680
