Article

Low-Power Wireless Sensor Networks

Authors:

Rex Min,

Anantha ChandrakasanAuthors Info & Claims

VLSID '01: Proceedings of the The 14th International Conference on VLSI Design (VLSID '01)

Page 205

Published: 03 January 2001 Publication History

Publisher Site

Abstract

Wireless distributed microsensor systems will enable fault tolerant monitoring and control of a variety of applications. Due to the large number of microsensor nodes that may be deployed and the need for long system lifetimes, replacing the battery is not an option. Sensor systems must utilize the minimal possible energy while operating over a wide range of operating scenarios. This paper presents an overview of the key technologies required for low-energy distributed microsensors. These include power aware computation/communication component technology, low-energy signaling and networking, system partitioning based on computation and communication tradeoffs, and a power aware software infrastructure.

Cited By

View all

Ghosh KNeogy SDas PMehta M(2018)Intrusion Detection at International Borders and Large Military Barracks with Multi-sink Wireless Sensor NetworksWireless Personal Communications: An International Journal10.1007/s11277-017-4909-598:1(1083-1101)Online publication date: 1-Jan-2018
https://dl.acm.org/doi/10.1007/s11277-017-4909-5
Rostami ABadkoobe MMohanna FKeshavarz HHosseinabadi ASangaiah A(2018)Survey on clustering in heterogeneous and homogeneous wireless sensor networksThe Journal of Supercomputing10.1007/s11227-017-2128-174:1(277-323)Online publication date: 1-Jan-2018
https://dl.acm.org/doi/10.1007/s11227-017-2128-1
Yadav RGupta DLobiyal D(2017)Energy Efficient Probabilistic Clustering Technique for Data Aggregation in Wireless Sensor NetworkWireless Personal Communications: An International Journal10.1007/s11277-017-4370-596:3(4099-4113)Online publication date: 1-Oct-2017
https://dl.acm.org/doi/10.1007/s11277-017-4370-5
Show More Cited By

Low-Power Wireless Sensor Networks
1. Networks
  1. Network types
2. Software and its engineering
  1. Software organization and properties
    1. Software system structures

Recommendations

Reprogramming over Low Power Link Layer in Wireless Sensor Networks
MASS '13: Proceedings of the 2013 IEEE 10th International Conference on Mobile Ad-Hoc and Sensor Systems

Reprogramming over the air is important for maintaining a wireless sensor network. Traditional reprogramming approaches assume always-on link layers. Given the energy limitation of sensor nodes, always-on link layers are often not desired for most ...
Power-efficient communication algorithms for wireless mobile sensor networks
PE-WASUN '04: Proceedings of the 1st ACM international workshop on Performance evaluation of wireless ad hoc, sensor, and ubiquitous networks

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. ...
Power consumption in wireless sensor networks
FIT '09: Proceedings of the 7th International Conference on Frontiers of Information Technology

In wireless sensor networks (WSNs), long lifetime requirement of different applications and limited energy storage capability of sensor nodes has led us to find out new horizons for reducing power consumption upon nodes. To increase sensor node's ...

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

VLSID '01: Proceedings of the The 14th International Conference on VLSI Design (VLSID '01)

January 2001

ISBN:0769508316

Publisher

IEEE Computer Society

United States

Publication History

Published: 03 January 2001

Qualifiers

Article

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

42
Total Citations
View Citations
0
Total Downloads

Downloads (Last 12 months)0
Downloads (Last 6 weeks)0

Reflects downloads up to 11 Feb 2025

Other Metrics

View Author Metrics

Citations

Cited By

View all

Ghosh KNeogy SDas PMehta M(2018)Intrusion Detection at International Borders and Large Military Barracks with Multi-sink Wireless Sensor NetworksWireless Personal Communications: An International Journal10.1007/s11277-017-4909-598:1(1083-1101)Online publication date: 1-Jan-2018
https://dl.acm.org/doi/10.1007/s11277-017-4909-5
Rostami ABadkoobe MMohanna FKeshavarz HHosseinabadi ASangaiah A(2018)Survey on clustering in heterogeneous and homogeneous wireless sensor networksThe Journal of Supercomputing10.1007/s11227-017-2128-174:1(277-323)Online publication date: 1-Jan-2018
https://dl.acm.org/doi/10.1007/s11227-017-2128-1
Yadav RGupta DLobiyal D(2017)Energy Efficient Probabilistic Clustering Technique for Data Aggregation in Wireless Sensor NetworkWireless Personal Communications: An International Journal10.1007/s11277-017-4370-596:3(4099-4113)Online publication date: 1-Oct-2017
https://dl.acm.org/doi/10.1007/s11277-017-4370-5
Narayanaswamy SSchlueter SSteinhorst SLukasiewycz MChakraborty SHoster H(2016)On Battery Recovery Effect in Wireless Sensor NodesACM Transactions on Design Automation of Electronic Systems10.1145/289050121:4(1-28)Online publication date: 18-May-2016
https://dl.acm.org/doi/10.1145/2890501
Ganesan MKumar AKrishnan SLalitha EManjula BAmudhavel JKhadar ST. R(2015)A Novel Based Algorithm for the Prediction of Abnormal Heart Rate Using Bayesian Algorithm in the Wireless Sensor NetworkProceedings of the 2015 International Conference on Advanced Research in Computer Science Engineering & Technology (ICARCSET 2015)10.1145/2743065.2743118(1-5)Online publication date: 6-Mar-2015
https://dl.acm.org/doi/10.1145/2743065.2743118
Desai NRamadass YChandrakasan AXie YKarnik TKhellah MMehra R(2014)A bipolar ±40 mV self-starting boost converter with transformer reuse for thermoelectric energy harvestingProceedings of the 2014 international symposium on Low power electronics and design10.1145/2627369.2627609(221-226)Online publication date: 11-Aug-2014
https://dl.acm.org/doi/10.1145/2627369.2627609
Shokrzadeh HKhorsandi SHaghighat A(2012)Optimized query-driven appointment routing based on Expectation-Maximization in wireless sensor networksJournal of Network and Computer Applications10.1016/j.jnca.2012.06.00735:6(1749-1761)Online publication date: 1-Nov-2012
https://dl.acm.org/doi/10.1016/j.jnca.2012.06.007
Soni SKatiyar V(2011)Prolonging the lifetime of wireless sensor networks using multi-level clustering and heterogeneityProceedings of the 10th WSEAS international conference on Software engineering, parallel and distributed systems10.5555/1959791.1959801(72-77)Online publication date: 20-Feb-2011
https://dl.acm.org/doi/10.5555/1959791.1959801
Dhurandher SMisra SMittal HAgarwal AWoungang I(2011)Using ant-based agents for congestion control in ad-hoc wireless sensor networksCluster Computing10.1007/s10586-009-0090-214:1(41-53)Online publication date: 1-Mar-2011
https://dl.acm.org/doi/10.1007/s10586-009-0090-2
Ofrim DOfrim BSăcăleanu DStoian R(2010)Increasing lifetime of wireless sensor networks using adaptive scheduling techniqueProceedings of the 3rd WSEAS international conference on Advances in sensors, signals and materials10.5555/1950175.1950189(69-74)Online publication date: 3-Nov-2010
https://dl.acm.org/doi/10.5555/1950175.1950189
Show More Cited By

Abstract

Cited By

Recommendations

Reprogramming over Low Power Link Layer in Wireless Sensor Networks

Power-efficient communication algorithms for wireless mobile sensor networks

Power consumption in wireless sensor networks

Comments

Information

Published In

Publisher

Publication History

Qualifiers

Contributors

Other Metrics

Bibliometrics

Article Metrics

Other Metrics

Citations

Cited By

View options

Share

Share this Publication link

Share on social media

Affiliations