Energy-efficient communication protocol for wireless microsensor networks

By Wendi Rabiner Heinzelman, Anantha P. Chandrakasan, Hari Balakrishnan. Proceedings of the Annual Hawaii International Conference on System Sciences, 2000

14,862 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/b3834aed2c564d2dbeacf8c1b733dbe5c9c07fbf

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In Computer Networks and Communications

In Electrical and Electronic Engineering

Citations in the corpus

A Survey on Topology Control in Wireless Sensor Networks: Taxonomy, Comparative Study, and Open Issues (2008, neutral): “proposed Low-Energy Adaptive Clustering Hierarchy (LEACH) [22].”
CHEF: Cluster Head Election mechanism using Fuzzy logic in Wireless Sensor Networks (2008, methodology): “The representative solution is LEACH[12] which is a localized clustering method based on the probability model.”
A survey of multimedia streaming in wireless sensor networks (2008, methodology): “They used a transceiver model [50] in which the power consumed to transmit a k-bit message over a distance d is given by,”
Cross-layer optimization for energy-efficient wireless communications: a survey (2009, methodology): “For this purpose, we use the sensor node energy consumption model in Reference [ 17 ] that uses 100 pJ/bit/m2 for the trans-”
A survey of autonomic computing—degrees, models, and applications (2008, methodology): “Examples of hybrid approaches are [Heinzelman et al. 2000; McCann et al. 2005].”
Sift: A MAC Protocol for Event-Driven Wireless Sensor Networks (2006, methodology): “They all simultaneously become backlogged with the sensor reports and This material is based upon work supported by the National Science Foundation under Grant Nos.”
A particle swarm optimization based energy efficient cluster head selection algorithm for wireless sensor networks (2016, methodology): “In this model, energy consumption of a node is proportional to d(2) when the propagation distance (d) less than the threshold distance d0, otherwise it is proportional to d(4) [7].”
Energy-efficient surveillance system using wireless sensor networks (2004, background): “• Sensing Coverage: Surveillance addresses the sensing coverage problem of every physical point in the terrain, instead of communication coverage as in LEACH [12] and SPAN [3].”
Growth codes: maximizing sensor network data persistence (2006, background): “Traditional assumptions, like power conservation [22, 26] and optimized routing [7, 36] are secondary issues and are not addressed in detail in this paper.”
Prediction-based strategies for energy saving in object tracking sensor networks (2004, methodology): “In the network architecture level, the clustering based approach and localized algorithm have been proposed to dynamically cluster the sensor nodes based on their remaining battery level and density of the region [3, 5].”
Strategies and techniques for node placement in wireless sensor networks: A survey (2008, background): “Although energy-aware multi-hop routing does dynamically adapt to changes in sensor energy and traffic pattern, sensors near a data collector (DC) die quickly as they are the most utilized nodes in the network [40][75].”
Rumor Routing Algorithm For Sensor Networks (2002, background): “[10][7][ 8 ] Traditional routing schemes have been difficult to adopt, and as a result, many new algorithms have been developed.[10][18][11][7]”