2004
DOI: 10.1109/jsac.2004.830898
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Collision-Minimizing CSMA and Its Applications to Wireless Sensor Networks

Abstract: Abstract-Recent research in sensor networks, wireless location systems, and power-saving in ad hoc networks suggests that some applications' wireless traffic be modeled as an event-driven workload: a workload where many nodes send traffic at the time of an event, not all reports of the event are needed by higher level protocols and applications, and events occur infrequently relative to the time needed to deliver all required event reports. We identify several applications that motivate the event-driven worklo… Show more

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Cited by 214 publications
(185 citation statements)
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References 24 publications
(40 reference statements)
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“…SIFT guarantees successful transmission of R out of N packet (each sensor detects an event and sends one packet) with the shortest delay where N is the number of nodes which detected the event. Based on the same principle, CSMA/p* [10] is proposed where p* is also a non-uniform distribution in order to minimize latency. However, the main objective of this proposal is to reduce the collision but not to reduce the transmission latency for event-driven wireless sensor networks.…”
Section: Related Workmentioning
confidence: 99%
“…SIFT guarantees successful transmission of R out of N packet (each sensor detects an event and sends one packet) with the shortest delay where N is the number of nodes which detected the event. Based on the same principle, CSMA/p* [10] is proposed where p* is also a non-uniform distribution in order to minimize latency. However, the main objective of this proposal is to reduce the collision but not to reduce the transmission latency for event-driven wireless sensor networks.…”
Section: Related Workmentioning
confidence: 99%
“…As said in Section 1, we propose the use of CSMA with the optimal probability distribution (p * ) for the selection of CSMA contention micro-slots derived in [9]. This distribution maximises the probability of success when N stations become simultaneously backlogged, but depends on the number of slots in use (K) and the number of nodes (N ) contending.…”
Section: Related Workmentioning
confidence: 99%
“…Since the latter is usually unknown (also in RFID), an approximation is also provided, the Sift distribution, which not only keeps close to the optimal for a wide range of its configuration parameters but it is also scalable. The authors of reference [9] discuss different applications in wireless sensor networks, but RFID is not mentioned. In this paper we show that RFID is a major field of application of this optimised distribution.…”
Section: Related Workmentioning
confidence: 99%
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