Managing Energy Consumption of Wireless Sensors Networks in Multiple Greenhouses
Open Access
- 1 January 2018
- journal article
- research article
- Published by Scientific Research Publishing, Inc. in Wireless Engineering and Technology
- Vol. 09 (02), 11-19
- https://doi.org/10.4236/wet.2018.92002
Abstract
An extensive area implementation of fully observed greenhouses motivates on research, especially in remote greenhouses. However, implementation of wireless sensor networks (WSNs) is still needed for investigation. Cognitive radio sensor networks (CRSNs) took advantage of using the cognitive radio (CR) concept to which allowed wireless sensor networks to dynamically access into white space channels which is unused channels. In this paper, we adopted the Generalized Implicit-OR as CRSN sensing protocol to reduce the energy consumption and increase the network lifetime in multiple numbers of greenhouses. Our results showed that enhanced energy consumption and improved network lifetime compared to ordinary WSN.Keywords
This publication has 9 references indexed in Scilit:
- Generalized implicit cooperation with slotted contention in cognitive radio wireless sensor networksPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2016
- Implementation of Energy Detection Method for Spectrum Sensing in Cognitive Radio Based Embedded Wireless Sensor Network NodePublished by Institute of Electrical and Electronics Engineers (IEEE) ,2014
- Energy-efficient cooperative spectrum sensing schemes for cognitive radio networksEURASIP Journal on Wireless Communications and Networking, 2013
- E-MiLi: Energy-Minimizing Idle Listening in Wireless NetworksIEEE Transactions on Mobile Computing, 2012
- Cooperative spectrum sensing in cognitive radio networks: A surveyPhysical Communication, 2011
- Energy-Efficient Spectrum Discovery for Cognitive Radio Green NetworksMobile Networks and Applications, 2011
- Advances in cognitive radio networks: A surveyIEEE Journal of Selected Topics in Signal Processing, 2010
- Experimental study of spectrum sensing based on energy detection and network cooperationPublished by Association for Computing Machinery (ACM) ,2006
- Energy-efficient computing for wildlife trackingACM SIGPLAN Notices, 2002