An adaptive energy-efficient and low-latency MAC for data gathering in wireless sensor networks
By Gang Lu, Bhaskar Krishnamachari, Cauligi S. Raghavendra. 18th International Parallel and Distributed Processing Symposium, 2004. Proceedings., 2004
1,095 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/37a8ef6a9a61b3295cfe35b3b0f74bfc1371fb34
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Citations in the corpus
- Energy conservation in wireless sensor networks: A survey (2009, methodology): “D-MAC [85] is an adaptive duty cycle protocol optimized for data gathering in sensor networks where a tree organization has been established at the network layer.”
- Ultra-low duty cycle MAC with scheduled channel polling (2006, methodology): “Other algorithms tries to explicitly stagger the wakeup tim e along a transmission path, such as D-MAC [ 14 ] and the fast path algorithm [13].”
- MAC Essentials for Wireless Sensor Networks (2010, unknown): “SWMAC [56], Adaptive Listening [57], nanoMAC [58], DSMAC [59], FPA [60], DMAC [ 61 ], Q-MAC [62], MSMAC [63], GSA [60], RL-MAC [66], U-MAC [67], RMAC [68], E2RMAC [69]”
- Delay efficient sleep scheduling in wireless sensor networks (2005, background): “In a recent work [ 10 ], we investigated an alternate approach to delay-efficient sleep scheduling, designed specifically for wireless sensor networks where the communication pattern is restricted to an established unidirectional data gatherin g tree.”
- A Survey of Visual Sensor Networks (2009, methodology): “In the DMAC [ 35 ] protocol, Lu et al. further explore the adaptive listening mechanism, pointing out the data forwarding interruption problem, which happens due to the limited overhearing range of the nodes, so that a node can be outofrangeforbothsenderandreceiverandthusunawareof the ongoing data t”
- RMAC: A Routing-Enhanced Duty-Cycle MAC Protocol for Wireless Sensor Networks (2007, background): “DMAC [ 15 ] overcame the latency problem for the specific communication pattern of a tree by offsetting the sleep schedule of a sensor node (like a pipeline) by an amount dependent on the level in the tree at which the node lies.”