Modelling Data-Centric Routing in Wireless Sensor Networks

By Bhaskar Krishnamachari, Deborah Estrin, Stephen B. Wicker. 2002

606 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/08e59970c2c59635277a4e099fb29daa375f801a

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Citations in the corpus

Swarm intelligence based routing protocol for wireless sensor networks: Survey and future directions (2011, unknown): “[51].”
DCTC: dynamic convoy tree-based collaboration for target tracking in sensor networks (2004, methodology): “Most existing researches in sensor networks, e.g., the directed diffusion [10, 13 ], LEACH [9] and TTDD”
VBF: Vector-Based Forwarding Protocol for Underwater Sensor Networks (2006, methodology): “Recently, sensor networks have emerged as a very powerful technique for many applications, including monitoring, measurement, surveillance and control [8], [13], [10], [5], [7].”
A survey on routing protocols for wireless sensor networks (2005, methodology): “The nodes also have the ability to do in-network data aggregation, which is modeled as a minimum Steiner tree problem [23].”
Impact of network density on data aggregation in wireless sensor networks (2002, methodology): “placement scheme differs from the event-radius model [ 14 ] for the low-level data aggregation because sources may not be triggered by the same phenomena and may not be within one hop from one another.”
Classical and swarm intelligence based routing protocols for wireless sensor networks: A survey and comparison (2012, background): “In case of the failures, routing protocols should be able to generate new routes to the data collection point or sink (Krishnamachari et al., 2002).”
Distributed Compressive Sensing (2009, unknown): “Anumberofdistributedcodingalgorithmshavebeendevelopedthatinvolvecollaboration amongstthesensors,includingseveralbasedonpredictivecoding[18] [19] [20],adistributedKLT[21], anddistributedwavelettransforms[22] [23].”
An efficient clustering-based heuristic for data gathering and aggregation in sensor networks (2003, methodology): “Our energy model for the sensors is based on the first order radio model described in [4].”
A survey on clustering algorithms for wireless sensor networks (2007, methodology): “Data aggregation combines data from different sources by using functions such as suppression (eliminating duplicates), min, max and average [33].”
MAXIMUM LIFETIME DATA GATHERING AND AGGREGATION IN WIRELESS SENSOR NETWORKS (2002, methodology): “, n, constraints (5) and (6) enforce the flow conservation principle at a sensor; constraint (8) ensures that T flow from sensor k reaches the base station; and constraint (7) ensures that the capacity constraints on the edges of the flow network are respected.”
Data Capacity Improvement of Wireless Sensor Networks Using Non-Uniform Sensor Distribution (2006, methodology): “Data aggregation techniques also have been studied in references [3, 8, 9].”
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, unknown): “A u t h o r ' s p e r s o n a l”