Title :
Channel-state based scheduling in wireless sensor networks for reliable transmission
Author_Institution :
Dept. of Comput. Sci. & Eng., State Univ. of New York, USA
Abstract :
Reliability of data in energy-constrained sensor networks is limited due to low powered transmissions. Improvement in transmission reliability through channel-state based scheduling is proposed. In a cluster, a time-shared channel between sensor nodes to the cluster head is considered in a Rayleigh fading environment. A 2-state Markov model is presented to partition the received envelope into fade and non-fade states. The state-partitioning threshold is derived as a function of bit error probability and average duration of transmission, in addition to other channel and transmission parameters. It is shown that the channel-state based scheduling can guarantee bit error probability, arbitrarily close to zero at the cost of increasing idle channel time. Increasing the number of sensor nodes in the cluster can offset the increase in idle channel time.
Keywords :
Markov processes; Rayleigh channels; error statistics; probability; scheduling; telecommunication network reliability; wireless sensor networks; 2-state Markov model; Rayleigh fading environment; bit error probability; channel-state based scheduling; energy-constrained sensor networks; idle channel time; reliable data transmission; sensor nodes; state-partitioning threshold; time-shared channel; wireless sensor networks; Computer network reliability; Cost function; Delay effects; Error probability; Fading; Intelligent networks; Magnetic sensors; Processor scheduling; Radio transmitters; Wireless sensor networks;
Conference_Titel :
Parallel and Distributed Processing Symposium, 2005. Proceedings. 19th IEEE International
Print_ISBN :
0-7695-2312-9
DOI :
10.1109/IPDPS.2005.136
