An application-specific protocol architecture for wireless microsensor networks

By Wendi Rabiner Heinzelman, Anantha P. Chandrakasan, Hari Balakrishnan. 2002

11,379 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Electrical and Electronic Engineering

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In Computer Networks and Communications

In Electrical and Electronic Engineering

Citations in the corpus

Over-the-air Function Computation in Sensor Networks (2016, background): “To a ddress this issue, much past work in sensor networks has advocated data aggregation [13, 17, 12, 18].”
A dynamic clustering and energy efficient routing technique for sensor networks (2007, methodology): “In LEACH (low-energy adaptive clustering hierarchy) [3], the position of a CH was rotated among the nodes within a cluster depending on their remaining energy levels.”
SEP: A Stable Election Protocol for clustered heterogeneous wireless sensor networks (2004, methodology): “If the distance of a significant percentage of nodes to the sink is greater thand0 then, following the same analysis [4] we obtain: kopt =r n 2 r fs mp M d2toBS (3)”
Load-Balanced Clustering Algorithm With Distributed Self-Organization for Wireless Sensor Networks (2013, methodology): “We use the same radio model as stated in [20] where to transmit an l-bit message over a distance d , the power consumption is”
An Energy-Efficient Communication Protocol for Wireless Sensor Networks (2011, methodology): “[8], it is proposed to select cluster-head according to the residual energy of node.”
A survey on clustering algorithms for wireless sensor networks (2007, methodology): “However in self-organizing systems, the sensor nodes are scattered randomly creating an infrastructure in an ad hoc manner [8,19,20].”
Energy-latency tradeoffs for data gathering in wireless sensor networks (2004, background): “Assuming that it takes 10 pJ/bit/m(2) by the amplifier to transmit one bit at an acceptable quality [15], we infer that the desired communication radius is √ 50 ≈ 7 m (from 1 mW 2×106 bit/sec = 10 pJ/bit/m (2)× d(2)).”
Enhancing Real-Time Delivery of Gradient Routing for Industrial Wireless Sensor Networks (2012, background): “The energy model proposed in [17] is considered.”
A Survey of Energy-Efficient Scheduling Mechanisms in Sensor Networks (2006, background): “E-LEACH [ 16 ] further improved LEACH in two major aspects.”
Cluster-head election using fuzzy logic for wireless sensor networks (2005, methodology): “LEACH-C [2] uses a centralized algorithm and provides another approach to form clusters as well as selecting the cluster-heads using the simulated annealing technique.”
A Survey of Energy-Efficient Hierarchical Cluster-Based Routing in Wireless Sensor (2010, background): “Enhanced Low-Energy Adaptive Clustering Hierarchy (ELEACH): E-LEACH [7] further improved LEACH in two major aspects.”