Review and Optimization of Energy Efficiency in Software-Defined WSNs

نوع: Type: thesis

مقطع: Segment: masters

عنوان: Title: Review and Optimization of Energy Efficiency in Software-Defined WSNs

ارائه دهنده: Provider: Peyman Fooladnia

اساتید راهنما: Supervisors: Dr. Hatam Abdoli

اساتید مشاور: Advisory Professors:

اساتید ممتحن یا داور: Examining professors or referees: Dr. Mehdi Abasi - Dr. Reza Mohammadi

زمان و تاریخ ارائه: Time and date of presentation: Monday, March, 14, 2022 - 5:00 PM

مکان ارائه: Place of presentation: Virtual

چکیده: Abstract: The focus on the IoT and related topics is increasing every day. Wireless sensor networks are one of the most important topics in the Internet of Things. Today, software-based networks are considered as a new energy efficiency solution in wireless sensor networks. So far, various solutions based on software-based networks have been introduced to reduce energy consumption and increase lifespan, each with its own disadvantages and advantages. This dissertation introduces a method for improving content-based energy consumption along with a sleep-wake node-based scheduling method for software-based networks for wireless sensor networks. Content-based energy consumption optimization is learned by the controller based on the node activity history and reduces the number of packets sent. Also, by improving the CKN method, an optimal sleep and wake schedule is introduced for the nodes, which reduces energy consumption and balances it. Also, by using data aggregation based on content, it is possible to increase the data upload speed and prevent multiple data uploads. The proposed method simulation is performed in contiki operating system and Cooja simulator. The evaluation of the proposed method is based on the criteria of network life, the ratio of instability period and end-to-end latency. Comparison of the results on EC-CKN, OEE-SDN and SDN-CKN methods shows that the proposed method performs better overall

فایل: ّFile: Download فایل