Sift: A MAC Protocol for Event-Driven Wireless Sensor Networks
By Kyle Jamieson, Hari Balakrishnan, Yong Chiang Tay. European Conference/Workshop on Wireless Sensor Networks, 2006
412 citations recorded by the source corpus.
Nodes in sensor networks often encounter spatially-correlated contention, where multiple nodes in the same neighborhood all sense an event they need to transmit information about. Furthermore, in many sensor network applications, it is sufficient if a subset of the nodes that observe the same event report it. We show that traditional carrier-sense multiple access (CSMA) protocols for sensor networks do not handle the first constraint adequately, and do not take advantage of the second property, leading to degraded latency as the network scales in size. We present Sift, a medium access control (MAC) protocol for wireless sensor networks designed with the above observations in mind. We show using simulations that as the size of the sensor network scales up to 500 nodes, Sift can offer up to a 7-fold latency reduction compared to other protocols, while maintaining competitive throughput.
Subfields: Computer Networks and Communications
View Paper: https://www.semanticscholar.org/paper/5782c2aa6089fd1467bdbb51eb9749cbd6413659
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Citations in the corpus
- Simulating wireless and mobile networks in OMNeT++ the MiXiM vision (2008, background): “EyesMACLayer - provides a number of support functions for sensor network MACs, including support functions for low-power listening [18] and Sift-inspired [12] carrier-sense period choosing, as well as generating statistical information about MAC protocol performance.”
- A unifying link abstraction for wireless sensor networks (2005, methodology): “Protocol Type Neighbors Msg Pool 802.11 CSMA/RTS provide/use - SIFT,CSMA/p* CSMA/CA - - B-MAC CSMA/LPL - very helpful WiseMAC np-CSMA provide/use helpful S-MAC,T-MAC Slotted CSMA provide/use helpful TDMA/802.15.4 TDMA provide helpful TRAMA TDMA provide critical Table 4: Interaction between SP and ”
- An Improved K-means Clustering Algorithm (2014, methodology): “Suppose a trajectory is expressed as ( (1), (2),.”
- Z-MAC: a hybrid MAC for wireless sensor networks (2005, background): “9 and the contention window size is set to 32 slots as recommended in [13].”
- RI-MAC: a receiver-initiated asynchronous duty cycle MAC protocol for dynamic traffic loads in wireless sensor networks (2008, background): “11 or Sift [14,21], depending on the density of a network.”
- Fast and reliable estimation schemes in RFID systems (2006, methodology): “The HIPERLAN standard [31] and the Sift protocol [32, 36] attempt to minimize collisions in a CSMA protocol wherein all the nodes can hear each other, using a truncated geometric distribution for contention probabilities.”