Topology management for sensor networks: exploiting latency and density

By Curt Schurgers, Vlasios Tsiatsis, Saurabh Ganeriwal, Mani B. Srivastava. ACM Interational Symposium on Mobile Ad Hoc Networking and Computing, 2002

377 citations recorded by the source corpus.

Subfields: Computer Networks and Communications

View Paper: https://www.semanticscholar.org/paper/0bba8ff246a3ef6adf5615f123b58f70bf4f6914

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Networks and Communications

Citations in the corpus

Asynchronous wakeup for ad hoc networks (2003, methodology): “The energy saving of STEM is dependent on that of the control channel.”
Topology control for wireless sensor networks (2003, methodology): “[28] proposed a sparse topology and energy management (STEM) technique that aggressively puts nodes in sleep mode and only wakes them up when they are needed to forward data.”
RMAC: A Routing-Enhanced Duty-Cycle MAC Protocol for Wireless Sensor Networks (2007, background): “, [6], [7], [8]), adding extra cost to the network deployment.”
Exploiting Mobility for Energy Efficient Data Collection in Wireless Sensor Networks (2006, background): “Listening consumes substantial energy and reducing this overhead is important [19] [24] [31] [32].”
Wakeup scheduling in wireless sensor networks (2006, background): “To copy otherwise, to republish, to post on servers or to redistribute to lists, requires prior speci.c permission and/or a fee.”
A MAC protocol to reduce sensor network energy consumption using a wakeup radio (2005, background): “STEM [10], [3] is a two-radio architecture that achieves energy savings by letting the data radio sleep until communication is desired while the wakeup radio periodically listens using a low duty cycle.”
Firefly-inspired sensor network synchronicity with realistic radio effects (2005, methodology): “Coordinated communication scheduling has been used both at the MAC level [18] and in multi-hop routing protocols [12] to save energy.”
Sensor networks with mobile agents (2003, background): “Numerous protocols have been developed for medium access control [7, 9, 10], multi-hop routing [11–13], topology discovery and route maintenance [14, 15].”
A survey on wireless multimedia sensor networks (2007, background): “• Recent research has focused on a two-transceiver paradigm in which the main radio (MR) is supplemented by the presence of a wake-up radio (LR) having similar characteristics [88,114,115] or a simple low-energy design [53] that emits a series of short pulses or a busy tone.”
On-demand power management for ad hoc networks (2003, methodology): “STEM [12] proposes a similar approach to the IEEE 802.11 power management, but uses an independent control channel to avoid the clock synchronization needed by IEEE 802.11.”
A Survey on Topology Control in Wireless Sensor Networks: Taxonomy, Comparative Study, and Open Issues (2008, positive): “[75] propose the sparse topology and energy management (STEM) technique, which exploits the time dimension rather than the node density dimension to control a power saving topology of active sensor nodes.”
Ultra-low duty cycle MAC with scheduled channel polling (2006, background): “Separate from MAC protocols, as number of researchers have proposed higher-level approaches to conserve power, either as a topology management layer [28], [3], [22], integrated with routing, or at the application layer [20].”
Non-commercial Research and Educational Use including without Limitation Use in Instruction at Your Institution, Sending It to Specific Colleagues That You Know, and Providing a Copy to Your Institution's Administrator. All Other Uses, Reproduction and Distribution, including without Limitation Comm (2005, neutral): “…in a uniaxial nematic liquid crystal is given by: H ¼ X l m l I Z;l þ X l<m J lm I l Á I m þ X l<m D lm ð3I Z;l I Z;m À I l Á I m Þ ð1Þ where m l is the resonance frequency of nucleus l and J lm and D lm are the indirect spin–spin and the direct dipole–dipole couplings between nuclei l and…”
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].”
Relay node placement in large scale wireless sensor networks (2006, methodology): “In the first simulation, we fix the communication range of each sensor node to be 40 meters since practically this value for the sensor node is between 20 and 40 [12, 17 ].We adjust the network density by changing the number of nodes in the network.”