Distributed clustering in ad-hoc sensor networks: a hybrid, energy-efficient approach

By Ossama Younis, Sonia Fahmy. IEEE INFOCOM 2004, 2004

1,485 citations recorded by the source corpus.

Subfields: Computer Networks and Communications

View Paper: https://www.semanticscholar.org/paper/cf183fb176e8bf3a3f8645c17732b4b11851fd05

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In Computer Networks and Communications

Citations in the corpus

Cluster head election techniques for coverage preservation in wireless sensor networks (2009, methodology): “The HEED clustering protocol [7] uses a hybrid criterion for cluster head selection, which considers the residual energy of the node and a secondary parameter, such as the node’s proximity to its neighbors or the node’s neighbor degree.”
SenCar: An Energy-Efficient Data Gathering Mechanism for Large-Scale Multihop Sensor Networks (2006, neutral): “Ç”
Using mobile relays to prolong the lifetime of wireless sensor networks (2005, methodology): “Data aggregation and clustering methods such as [13, 14, 15] aggregate the sensing data to decrease traffic volume and thereby prolong network lifetime.”
Clustering in sensor networks: A literature survey (2014, methodology): “Hybrid methods are usually iterative-based (Younis and Fahmy, 2004a), timer-based (Selvakennedy and Sinnappan, 2007) or competition-based (Ye et al., 2005).”
A Survey of Energy-Efficient Hierarchical Cluster-Based Routing in Wireless Sensor (2010, methodology): “Hybrid, Energy-Efficient Distributed Clustering (HEED): HEED [25], [26] extends the basic scheme of LEACH by using residual energy and node degree or density as a metric for cluster selection to achieve power balancing.”
A Survey on Topology Control in Wireless Sensor Networks: Taxonomy, Comparative Study, and Open Issues (2008, background): “Younis and Fahmy presented Hybrid Energy-Efficient Distributed Clustering (HEED) [ 26 ].”
Cluster-Based Cooperative Spectrum Sensing in Cognitive Radio Systems (2007, methodology): “In the proposed approach, we assume that clustering has been done by upper layers and that any of distributed clustering algorithms in [9], [10] may be adopted.”
Routing Protocols in Wireless Sensor Networks - A Survey (2010, methodology): “Hybrid, Energy-Efficient Distributed Clustering (HEED): HEED [40,41] extends the basic scheme of LEACH by using residual energy and node degree or density as a metric for cluster selection to achieve power balancing.”
Wireless Sensor Networks and Applications: a Survey (2007, methodology): “From [12], an energy-efficient distributed clustering approach for ad-hoc sensor networks was presented.”
A Wireless Sensor Network Air Pollution Monitoring System (2010, background): “In general, if we consider the problem to route data packets, representing measurements collected by sensors, to a single managing entity, i.e., a network sink, it is often efficient to exploit the correlation among similar data collected by the sensors in order to decrease overhead [19, 20].”
Joint mobility and routing for lifetime elongation in wireless sensor networks (2005, background): “, [9], [10], [11], [12]) are usually closely correlated [11].”
HEED: a hybrid, energy-efficient, distributed clustering approach for ad hoc sensor networks (2004, positive): “HEED has four primary objectives [21]: 1.”
Distributed Energy-Efficient Hierarchical Clustering for Wireless Sensor Networks (2005, background): “Younis and Fahmy [4] propose a Hybrid Energy-Efficient Distributed clustering (HEED), which creates distributed clusters without the size and density of the sensor network being known.”
Data Mining for Internet of Things: A Survey (2014, background): “If a novel mining algorithm can enhance the performance of a system, then the new mining algorithm is also needed.”