- #REF SMART TIMER CODE#
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Journal of Network and Computer Applications, 89:38-47, 2017. A new elastic trickle timer algorithm for internet of things. Muneer Bani Yassein, Shadi Aljawarneh, et al.
Trickle-d: High fairness and low transmission load with dynamic redundancy.
Mališa Vučinić, Michał Król, Baptiste Jonglez, Titouan Coladon, and Bernard Tourancheau. In Wireless Communications and Networking Conference Workshops (WCNCW), 2016 IEEE, pages 103-108. Trickle-plus: Elastic trickle algorithm for low-power networks and internet of things. Baraq Ghaleb, Ahmed Al-Dubai, Elias Ekonomou, Ben Paechter, and Mamoun Qasem. In World of Wireless, Mobile and Multimedia Networks (WoWMoM), 2015 IEEE 16th International Symposium on a, pages 1-9. Adaptive broadcast suppression for trickle-based protocols. Thomas MM Meyfroyt, Milosh Stolikj, and Johan J Lukkien. Ubiquitous Computing Application and Wireless Sensor. James J Jong Hyuk Park, Yi Pan, Han-Chieh Chao, and Gangman Yi. In Sustainable Internet and ICT for Sustainability (SustainIT), 2013, pages 1-9. Trickle-f: Fair broadcast suppression to improve energy-efficient route formation with the rpl routing protocol. In Personal, Indoor, and Mobile Radio Communications (PIMRC), 2015 IEEE 26th Annual International Symposium on, pages 1951-1956. Multiple redundancy constants with trickle. Titouan Coladon, Mališa Vučinić, and Bernard Tourancheau. Modeling the message count of the trickle algorithm in a steady-state, static wireless sensor network. Hamidreza Kermajani, Carles Gomez, and Mostafa Hesami Arshad. Indian Journal of Science and Technology, 8(19):1, 2015. Quantitative analysis and evaluation of rpl with various objective functions for 6lowpan. In Communications, Computers and Signal Processing (PACRIM), 2015 IEEE Pacific Rim Conference on, pages 438-443. Data aggregation in precision agriculture for low-power and lossy networks. Yongjoo Kim, Puleum Bae, Jina Han, and Young-Bae Ko. In Engineering & MIS (ICEMIS), International Conference on, pages 1-6. A new dynamic trickle algorithm for low power and lossy networks. Muneer Bani Yassein, Shadi Aljawarneh, Baraq Ghaleb, et al. Philip Levis and Thomas Heide Clausen. on Networked Systems Design and Implementation, 2004. #REF SMART TIMER CODE#
Trickle: A self-regulating algorithm for code propagation and maintenance in wireless sensor networks.
Philip Levis, Neil Patel, David Culler, and Scott Shenker. Journal of Computer and Communications, 3(05):164, 2015. Internet of things (iot): A literature review. Somayya Madakam, R Ramaswamy, and Siddharth Tripathi. The results of these experiments showed a significant improvement in the performance of the algorithm in terms of energy consumption, time of convergence and PDR. #REF SMART TIMER SIMULATOR#
We used Cooja simulator to test the performance of the proposed algorithm with Contiki OS. The technique is based on applying the proposed algorithm on precision agriculture especially on smart greenhouse in order to solve some of the degradation performance problems such as a high-power consumption, a long convergence time and the lost data in WSN. In this paper, we proposed a new version of RPL that is based on elastic resource consumption. This is due to many reasons such as overhead inside the network causing a loss in data, delay in time and the higher power consumption. The higher the numbers of sensors, the more impact on the performance of this system will be placed. WSN consist of a set of sensors that their task is sensing data and send it to a usually one root node. Most of modern agriculture control systems are using RPL routing protocol to transmit data within a Wireless Sensor Network (WSN) systems.
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