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Juang, P., Oki, H., Wang, Y., Martonosi, M., Peh, L.-S. and Rubenstein, D. (2002) Energy-Efficient Computing for Wildlife Tracking: Design Tradeoffs and Early Experiences with ZebraNet. ACM SIGPLAN Notices, 37, 96-107.

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• TITLE: Managing Energy Consumption of Wireless Sensors Networks in Multiple Greenhouses

  AUTHORS: Haythem Alhumud, Mohammed Zohdy

  KEYWORDS: Cognitive Radio, Wireless Sensor Networks, Energy-Efficient, Cooperative Sensing, Greenhouse

  JOURNAL NAME: Wireless Engineering and Technology, Vol.9 No.2, April 9, 2018

  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.