Optimizing Sensor Networks in the Energy-Latency-Density Design Space

By Curt Schurgers, Vlasios Tsiatsis, Saurabh Ganeriwal, Mani B. Srivastava. IEEE Transactions on Mobile Computing, 2002

626 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/55fd336135cf3600c2918d46855fc2d15ff24825

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In Computer Networks and Communications

In Electrical and Electronic Engineering

Citations in the corpus

The Evolution of MAC Protocols in Wireless Sensor Networks: A Survey (2013, methodology): “The similar idea of STEM-B has been adopted in single channel designs: a gap between two short packets is deliberately inserted to allow the target receiver to reply with an early ACK.”
Aggregation tree construction in sensor networks (2003, background): “For sensors with short transmission range like mote, the energy consumed for different mode (transmit, receive and idle) are comparable [13], while a sleeping sensor (radio is off) consumes little energy.”
Intelligent fluid infrastructure for embedded networks (2004, methodology): “Several methods to reduce energy consumption have been considered before in the presence of static devices alone [3, 23, 24, 25, 26].”
Network coverage using low duty-cycled sensors: random & coordinated sleep algorithms (2004, background): “An example of system designed based on this assumption can be found in [ 1 , 2]. While having two radios significantly simplifies the sleep/active design for data communication, how much benefit it would provide in the coverage problem is less clear.”
Real-time status: How often should one update? (2012, background): “For example, in works like [11] and [12] the authors consider energy efﬁcient dissemination of state in sensor networks.”
Minimum-energy broadcast in all-wireless networks: NP-completeness and distribution issues (2002, background): “The problem of minimizing the energy consumption of allwireless networks has received significant attention over the last few years [1, 20, 9, 13, 27, 14, 22].”
Geographic Random Forwarding (GeRaF) for Ad Hoc and Sensor Networks: Multihop Performance (2003, background): “12 a plot from [1] which shows the behavior of the energy-latency trade off for GeRaF and for STEM.”
Data Collection in Wireless Sensor Networks with Mobile Elements: A Survey (2011, methodology): “In the first approach, nodes use multiple radios [Schurgers et al. 2002a; Yang and Vaidya 2004]: a long-range and high-power radio is used for data communication, while a low-range low power radio is used for awaking nodes.”
Internet of things: Vision, applications and research challenges (2012, background): “Low-power communications is a well-established research ﬁeld within the sensor networking community, as proved by the active research performed in the last decade on power consumption aware medium access protocols [48–52].”
Research challenges and applications for underwater sensor networking (2006, methodology): “Their energy efficiency can be improved by enabling low-duty-cycle operations on nodes, such as S-MAC [51], [52], STEM [38], [ 37 ], low-power listening [19].”
A MAC protocol to reduce sensor network energy consumption using a wakeup radio (2005, methodology): “As in previous work [2], [3], [4], we assume that a second radio is available to awake neighbors.”
Middleware to support sensor network applications (2004, background): “The LIME middleware [15] focuses on a different application programming interface (API), namely a shared memory scheme for mobile ad hoc components through a Linda-like tuple space [16].”
Topology management techniques for tolerating node failures in wireless sensor networks: A survey (2014, background): “Further classification is done within each category based on the system assumptions, required network state, metrics and objectives for the recovery process, etc.”
Energy conservation in wireless sensor networks: A survey (2009, methodology): “This increases the network lifetime of a factor 100 [117].”
A survey on wireless multimedia sensor networks (2007, background): “• Multi-channel protocols are not completely collision free as is seen in the case of control packet collision [33,88,114].”