• Documents
  • Authors
  • Tables
  • Log in
  • Sign up
  • MetaCart
  • DMCA
  • Donate

CiteSeerX logo

Advanced Search Include Citations

Tools

Sorted by:
Try your query at:
Semantic Scholar Scholar Academic
Google Bing DBLP
Results 1 - 10 of 496
Next 10 →

Hierarchy (LEACH), Power Efficient GAthering in Sensor

by Owais Ahmed, Ahthsham Sajid, Mirza Aamir Mehmood
"... Rapid pace of improving technology in Wireless Sensor Networks (WSN) made it possible to manufacture low power, multifunctional sensor nodes. WSN is the set of small power energy confined sensor nodes which can be deployed in unapproachable domains. In WNS biggest constraint is to employ an efficien ..."
Abstract - Add to MetaCart
an efficient power consumption scheme. Different protocols were described for WSN out of which the research has been done on hierarchical (clustering) protocols to find out longer network lifetime. Low Energy Adaptive Clustering

PEGASIS: Power-Efficient GAthering in Sensor Information Systems'

by Stephanie Lmdsey, Cauligi S. Raghavendra
"... Abstrucf-Sensor webs consisting of nodes with limited battery power and wireless communications are deployed to collect useful information from the field. Gathering sensed information in an energy efficient manner is critical to operate the sensor network for a long period of time. In [3] a data col ..."
Abstract - Cited by 1 (0 self) - Add to MetaCart
Abstrucf-Sensor webs consisting of nodes with limited battery power and wireless communications are deployed to collect useful information from the field. Gathering sensed information in an energy efficient manner is critical to operate the sensor network for a long period of time. In [3] a data

PEGASIS: Power-Efficient Gathering in Sensor Information Systems Stephanie Lindsey Cauligi S. Raghavendra

by Corresponding Author Cauligi, Stephanie Lindsey, Cauligi S. Raghavendra, Cauligi S. Raghavendra
"... Sensor webs consisting of nodes with limited battery power and wireless communications are deployed to collect useful information from the field. Gathering sensed information in an energy efficient manner is critical to operate the sensor network for a long period of time. In [3] a data collection p ..."
Abstract - Cited by 2 (0 self) - Add to MetaCart
Sensor webs consisting of nodes with limited battery power and wireless communications are deployed to collect useful information from the field. Gathering sensed information in an energy efficient manner is critical to operate the sensor network for a long period of time. In [3] a data collection

MobiHoc Poster: Power Efficient Gathering of Correlated Data: Optimization, NP-Completeness and Heuristics

by Răzvan Cristescu, Martin Vetterli , 2003
"... This paper studies the interaction between the communication costs in a sensor network and the structure of the data that it measures. We formulate an optimization problem for power efficient data gathering and show that the problem is NP-complete. We propose scalable, distributed and efficient heur ..."
Abstract - Add to MetaCart
This paper studies the interaction between the communication costs in a sensor network and the structure of the data that it measures. We formulate an optimization problem for power efficient data gathering and show that the problem is NP-complete. We propose scalable, distributed and efficient

Data Gathering Algorithms in Sensor Networks Using Energy Metrics

by Stephanie Lindsey, Cauligi Raghavendra, Krishna M. Sivalingam - IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS , 2002
"... Sensor webs consisting of nodes with limited battery power and wireless communications are deployed to collect useful information from the field. Gathering sensed information in an energy efficient manner is critical to operating the sensor network for a long period of time. In [12], a data collecti ..."
Abstract - Cited by 226 (2 self) - Add to MetaCart
efficiency. In this paper, we present an improved scheme, called PEGASIS (Power-Efficient GAthering in Sensor Information Systems), which is a near-optimal chain-based protocol that minimizes energy. In PEGASIS, each node communicates only with a close neighbor and takes turns transmitting to the base

Adaptive distributed algorithms for power-efficient data gathering in sensor networks

by Jugoslava Aćimović, Baltasar Beferull-lozano, Răzvan Cristescu - Intl. Conf. on Wireless Networks, Comm. and Mobile Computing , 2005
"... In this work, we consider the problem of designing adaptive distributed processing algorithms in large sensor networks that are efficient in terms of minimizing the total power spent for gathering the spatially correlated data from the sensor nodes to a sink node. We take into account both the power ..."
Abstract - Cited by 9 (0 self) - Add to MetaCart
In this work, we consider the problem of designing adaptive distributed processing algorithms in large sensor networks that are efficient in terms of minimizing the total power spent for gathering the spatially correlated data from the sensor nodes to a sink node. We take into account both

Power-efficient sensor placement and transmission structure for data gathering under distortion constraints

by Deepak Ganesan, Răzvan Cristescu - in IPSN ’04 , 2004
"... We consider the joint optimization of sensor placement and transmission structure for data gathering, where a given number of nodes need to be placed in a field such that the sensed data can be reconstructed at a sink within specified distortion bounds while minimizing the energy consumed for commun ..."
Abstract - Cited by 54 (4 self) - Add to MetaCart
We consider the joint optimization of sensor placement and transmission structure for data gathering, where a given number of nodes need to be placed in a field such that the sensed data can be reconstructed at a sink within specified distortion bounds while minimizing the energy consumed

Power-efficient communication algorithms for wireless mobile sensor networks

by Chuan-ming Liu, Chuan-hsiu Lee - in Proceedings of the 1st ACM international , 2004
"... One important issue in wireless sensor networks is how to gather sensed information in an energy efficient way since the energy is a scarce resource in a sensor node. Many protocols have been proposed for data-gathering between wireless sensor nodes. However, most of these protocols work on static w ..."
Abstract - Cited by 6 (2 self) - Add to MetaCart
One important issue in wireless sensor networks is how to gather sensed information in an energy efficient way since the energy is a scarce resource in a sensor node. Many protocols have been proposed for data-gathering between wireless sensor nodes. However, most of these protocols work on static

Diet soda: a power-efficient processor for digital cameras

by Sangwon Seo, Ronald G. Dreslinski, Mark Woh, Chaitali Chakrabarti, Scott Mahlke, Trevor Mudge - In Proceedings of the 16th ACM/IEEE international symposium on Low power electronics and design, ISLPED ’10 , 2010
"... Power has become the most critical design constraint for embedded handheld devices. This paper proposes a power-efficient SIMD ar-chitecture, referred to as Diet SODA, for DSP applications. The key design idea is to apply near-threshold operation on a single instruction and multiple data (SIMD) arch ..."
Abstract - Cited by 4 (2 self) - Add to MetaCart
Power has become the most critical design constraint for embedded handheld devices. This paper proposes a power-efficient SIMD ar-chitecture, referred to as Diet SODA, for DSP applications. The key design idea is to apply near-threshold operation on a single instruction and multiple data (SIMD

Power-efficient Hierarchical Data Aggregation using Compressive Sensing in WSN

by Xi Xu, Rashid Ansari, Ashfaq Khokhar
"... Abstract—Compressive Sensing (CS) method is a burgeoning technique being applied to diverse areas including wireless sensor networks (WSNs). In WSNs, it has been studied in the context of data gathering and aggregation, particularly aimed at reducing data transmission cost and improving power effici ..."
Abstract - Cited by 2 (1 self) - Add to MetaCart
Abstract—Compressive Sensing (CS) method is a burgeoning technique being applied to diverse areas including wireless sensor networks (WSNs). In WSNs, it has been studied in the context of data gathering and aggregation, particularly aimed at reducing data transmission cost and improving power
Next 10 →
Results 1 - 10 of 496
Powered by: Apache Solr
  • About CiteSeerX
  • Submit and Index Documents
  • Privacy Policy
  • Help
  • Data
  • Source
  • Contact Us

Developed at and hosted by The College of Information Sciences and Technology

© 2007-2019 The Pennsylvania State University