Versatile low power media access for wireless sensor networks

By Joseph Polastre, Jason L. Hill, David E. Culler. ACM International Conference on Embedded Networked Sensor Systems, 2004

3,830 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/af231ba1805e1ec4fd3998775535ad4a0a6688c3

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In Computer Networks and Communications

In Electrical and Electronic Engineering

Citations in the corpus

Design of a WSN Platform for Long-Term Environmental Monitoring for IoT Applications (2013, methodology): “A widely used technique is low power listening (LPL, that can achieve duty cycles of 1%–3% [29]).”
The Complexity of Connectivity in Wireless Networks (2006, background): “constrained networks such as sensor networks [30], [32], [23].”
Design of an application-cooperative management system for wireless sensor networks (2005, positive): “The SNMS power management system places the radio stack into low-power listening mode, as defined by BMAC [12], disables upper-level components, and lets the CPU enter sleep mode.”
Design and evaluation of a versatile and efficient receiver-initiated link layer for low-power wireless (2010, methodology): “Computer Science Department University of Michigan University of California, Berkeley Johns Hopkins University Ann Arbor, MI 48109 Berkeley, CA 94720 Baltimore, MD 21218 prabal@eecs.umich.edu stevedh@cs.berkeley.edu {yinchen,cliang4,terzis}@cs.jhu.edu Abstract We present A-MAC, a…”
Applications, challenges, and prospective in emerging body area networking technologies (2010, background): “Researchers are exploring several promising techniques such as low-power listening [5] and wake-up radios [6], which are intended to minimize power consumed by idle listening.”
PW-MAC: An energy-efficient predictive-wakeup MAC protocol for wireless sensor networks (2011, background): “Several asynchronous duty-cycling MAC protocols have recently been proposed in the literature [1], [3], [8], [11].”
A Survey on Topology Control in Wireless Sensor Networks: Taxonomy, Comparative Study, and Open Issues (2008, background): “Similar to B–MAC, wise–MAC [27] also adopts the preamble sampling technique for the energy saving purpose.”
Energy Harvesting Sensor Nodes: Survey and Implications (2011, background): “Some of these include energy-aware MAC protocols (SMAC [6], BMAC [7], XMAC [8]), power aware storage, routing and data dissemination protocols [9], [10], [11], duty-cycling strategies [12], [13], adaptive sensing rate [14], tiered system architectures [15], [16], [17] and redundant placement of node”
Beyond co-existence: Exploiting WiFi white space for Zigbee performance assurance (2010, methodology): “Both motes run the CSMAbased B-MAC [14].”
Simulating wireless and mobile networks in OMNeT++ the MiXiM vision (2008, background): “sor 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.”
Z-MAC: a hybrid MAC for wireless sensor networks (2005, methodology): “A recent benchmark test [1] indicates that RTS/CTS reduces the e(cid:11)ective throughput of B-MAC, the default MAC of Mica2, by over 75%.”
Collection tree protocol (2009, methodology): “In two testbeds that have Telos nodes, we evaluate CTP Noe using three link layers: full power, low power listening [25] and low power probing [22].”