Data Gathering Algorithms in Sensor Networks Using Energy Metrics
By Stephanie Lindsey, Cauligi S. Raghavendra, Krishna M. Sivalingam. 2002
1,268 citations recorded by the source corpus.
Subfields: Computer Networks and Communications
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
- M. M. Afsar
- Mohammad-H. Tayarani-N.
- Georgios B. Giannakis
- Shuguang Cui
- Alejandro Ribeiro
- Jinjun Xiao
- Guihai Chen
- Zhi-Quan Tom Luo
Citations in the corpus
- Power scheduling of universal decentralized estimation in sensor networks (2006, background): “Various energy-efficient algorithms have been proposed for network coverage [7], data gathering [8], and protocols of medium access control [9] and routing [10] (see also the survey paper [1] and the references therein).”
- Clustering in sensor networks: A literature survey (2014, methodology): “However, this is assumed in PEGASIS that all the nodes have global knowledge of the network; this is not practical, because knowing the entire network topology is not practically possible in large distributed systems, particularly in WSNs with restricted resources.”
- Enhancing Real-Time Delivery of Gradient Routing for Industrial Wireless Sensor Networks (2012, background): “systems (PEGASIS) [5] organizes the sensor nodes in a chain.”
- An energy-efficient unequal clustering mechanism for wireless sensor networks (2005, background): “In PEGASIS [6], further improvement on energy-conservation is suggested by connecting the sensors into a chain.”
- Distributed compression-estimation using wireless sensor networks (2006, background): “For the purpose of energy efficiency (which has obviously been a design criterion for almost all aspects of WSN design; see [2], [8], [25], and [36]), a sensor should choose a message length of Lk = 0 if the quality of its channel to the FC is very poor, even if the quality of its observation is hig”
- Energy-Aware Clustering for Wireless Sensor Networks using Particle Swarm Optimization (2007, background): “Another clustering protocol which aims to enhance the network lifetime is presented in [4].”
- Geographic Random Forwarding (GeRaF) for Ad Hoc and Sensor Networks: Multihop Performance (2003, methodology): “An improvement of LEACH, called PEGASIS, which is chain-based and provides near optimum energy and delay performance is proposed in [19].”
- PEGASIS : Power-Efficient Gathering in Sensor Information Systems (2015, neutral): “IJSRST151530 | Received: 21 November 2015 | Accepted: 30 November 2015 | November-December 2015 [(1)5: 108-112] © 2015 IJSRST | Volume 1 | Issue 5 | Print ISSN: 2395-6011 | Online ISSN: 2395-602X Themed Section: Engineering and Technology”
- A Survey on Clustering Routing Protocols in Wireless Sensor Networks (2012, neutral): “…(ACE) [24], Base-Station Controlled Dynamic Clustering Protocol (BCDCP) [25], Power-Efficient Gathering in Sensor Information Systems (PEGASIS) [26], Threshold sensitive Energy Efficient sensor Network protocol (TEEN) [27], The Adaptive Threshold sensitive Energy Efficient sensor Network…”