GREEN WSN- OPTIMIZATION OF ENERGY USE
THROUGH REDUCTION IN COMMUNICATION
WORKLOAD
V. Jindal, A.K.Verma, und S. Bawa. International Journal on Foundations of Computer Science & Technology (IJFCST), 5 (3):
13(Mai 2015)
Zusammenfassung
Advances in micro fabrication and communication techniques have led to unimaginable proliferation of
WSN applications. Research is focussed on reduction of setup operational energy costs. Bulk of operational
energy costs are linked to communication activities of WSN. Any progress towards energy efficiency has a
potential of huge savings globally. Therefore, every energy efficient step is an endeavour to cut costs and
‘Go Green’. In this paper, we have proposed a framework to reduce communication workload through: Innetwork compression and multiple query synthesis at the base-station and modification of query syntax
through introduction of Static Variables. These approaches are general approaches which can be used in
any WSN irrespective of application.
%0 Journal Article
%1 noauthororeditor
%A Jindal, Vandana
%A A.K.Verma,
%A Bawa, Seema
%D 2015
%J International Journal on Foundations of Computer Science & Technology (IJFCST)
%K (WSN) MEMS Network Optimization Query Sensor Wireless continuous epoch one queries shot static variables
%N 3
%P 13
%T GREEN WSN- OPTIMIZATION OF ENERGY USE
THROUGH REDUCTION IN COMMUNICATION
WORKLOAD
%U https://wireilla.com/papers/ijfcst/V5N3/5315ijfcst05.pdf
%V 5
%X Advances in micro fabrication and communication techniques have led to unimaginable proliferation of
WSN applications. Research is focussed on reduction of setup operational energy costs. Bulk of operational
energy costs are linked to communication activities of WSN. Any progress towards energy efficiency has a
potential of huge savings globally. Therefore, every energy efficient step is an endeavour to cut costs and
‘Go Green’. In this paper, we have proposed a framework to reduce communication workload through: Innetwork compression and multiple query synthesis at the base-station and modification of query syntax
through introduction of Static Variables. These approaches are general approaches which can be used in
any WSN irrespective of application.
@article{noauthororeditor,
abstract = {Advances in micro fabrication and communication techniques have led to unimaginable proliferation of
WSN applications. Research is focussed on reduction of setup operational energy costs. Bulk of operational
energy costs are linked to communication activities of WSN. Any progress towards energy efficiency has a
potential of huge savings globally. Therefore, every energy efficient step is an endeavour to cut costs and
‘Go Green’. In this paper, we have proposed a framework to reduce communication workload through: Innetwork compression and multiple query synthesis at the base-station and modification of query syntax
through introduction of Static Variables. These approaches are general approaches which can be used in
any WSN irrespective of application. },
added-at = {2023-09-07T15:55:08.000+0200},
author = {Jindal, Vandana and A.K.Verma and Bawa, Seema},
biburl = {https://www.bibsonomy.org/bibtex/2e3fbfb00ab2fcabbc73eca6f329103ba/devino},
interhash = {95295521be7c6f7fc0394caa97dc12da},
intrahash = {e3fbfb00ab2fcabbc73eca6f329103ba},
issn = {ISSN : 1839-7662},
journal = {International Journal on Foundations of Computer Science & Technology (IJFCST)},
keywords = {(WSN) MEMS Network Optimization Query Sensor Wireless continuous epoch one queries shot static variables},
month = may,
number = 3,
pages = 13,
timestamp = {2023-09-07T15:55:08.000+0200},
title = {GREEN WSN- OPTIMIZATION OF ENERGY USE
THROUGH REDUCTION IN COMMUNICATION
WORKLOAD},
url = {https://wireilla.com/papers/ijfcst/V5N3/5315ijfcst05.pdf},
volume = 5,
year = 2015
}