DocumentCode
2043735
Title
Oblivious parallel probabilistic channel utilization without control channels
Author
Schindelhauer, Christian
Author_Institution
Heinz Nixdorf Inst., Paderborn Univ.
fYear
2006
fDate
25-29 April 2006
Abstract
The research interest in sensor nets is still growing because they simplify data acquisition in many applications. If hardware resources are very sparse, routing algorithms cannot use data gathering. However, if a large number of channels can be used, then parallel transmission can compensate this drawback. If the senders and receivers are not known in advance, then a control channel poses a bottleneck for communication. We present an oblivious MAC protocol, called the funnel protocol, where the channels are nearly optimally utilized in parallel. In this, senders and receivers choose for a polylogarithmic number of rounds (several sending attempts) a decreasing number of channels which are selected equiprobably. Then, we show that a previously presented approach using only one round and therefore one type of probability distribution is optimal up to some constant factor, and considerably worse than the funnel protocol. The protocol works with few resources if a sufficient number of channels is available. The funnel protocol is simple, elegant, and does not need to know the number of senders and receivers, thus being oblivious. On the bottom line we prove that small messages can be efficiently transmitted by the MAC layer in parallel without a control channel if more than one channel for communication can be used
Keywords
access protocols; channel allocation; parallel processing; wireless sensor networks; funnel protocol; oblivious MAC protocol; oblivious parallel probabilistic channel utilization; wireless sensor networks; Central Processing Unit; Communication system control; Frequency; Hardware; Parallel processing; Probability distribution; Protocols; Radio transceivers; Sensor phenomena and characterization; Time division multiple access;
fLanguage
English
Publisher
ieee
Conference_Titel
Parallel and Distributed Processing Symposium, 2006. IPDPS 2006. 20th International
Conference_Location
Rhodes Island
Print_ISBN
1-4244-0054-6
Type
conf
DOI
10.1109/IPDPS.2006.1639357
Filename
1639357
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