15031

13528

كارشناسي ارشد

مخابرات

اصفهان : دانشگاه صنعتي اصفهان

1398

نه، 66ص.: مصور، جدول، نمودار

مهدي مهدوي

علي‌محمد دوست‌حسيني

فروغ السادات طباطبا، نغمه سادات مويديان

1398/06/24

كتابنامه

مهندسي برق

مهندسي برق و كامپيوتر

1398/06/25

2553380

Proposing an Energy Harvesting Enabled Backscatter and Conventional Hybrid Algorithm for Maximization the Number of Transmitted Bits for Internet of Things Mahmoud Raeisi m raiesi@ec iut ac ir Department of Electrical and Computer Engineering Isfahan University of Technology Isfahan 84156 83111 Iran Degree M Sc Language Farsi Supervisor Prof Mehdi Mahdavi m mahdavi@cc iut ac ir Advisor Prof Ali Mohammad Doost Hoseini alimdh@cc iut ac ir Abstract With the introduction of the Internet of Things IoT and its various applications the need for more advanced wirelesssensor networks is felt more than ever Various applications of the Internet of Things introduce different needs to thefield of wireless sensor networks As one of these needs the elimination of energy constraints frequency constraints thereduction of interference generated by different networks in an environment for each other and the real time transmissionof data transmitted on the network can be mentioned The energy harvesting and cognitive radio technologies as twosuitable solutions for eliminating energy constraints and lack of frequency resources have attracted many researchers Asa solution to the interference problem created by the various networks in the environment multi hop networks can beproposed which is studied in this thesis too Also backscatter communication technology can be used as a way to reducethe data transmission time due to its passive nature which causes very low energy consumption In this thesis the HBCPalgorithm is presented as a new algorithm for multi hop networks The proposed algorithm being able to overcome theabove limitations as well as it improves network performance compared to similar algorithms The HBCP algorithm has twoproposed phases SiHaB and HyBaC In the SiHaB phase each secondary user transmits some part of its information usingthe Ambient Backscatter Communication method to the next user and harvests energy simultaneously This feature causesdelay reduction in sending information in sensitive time IoT applications In the HyBaC phase each secondary user candecide which communication method to use for sending information the conventional method or the Ambient Backscattermethod depending on the circumstances To transparent how the secondary users function a new structure is proposedthat is consistent with the proposed HBCP algorithm The structure uses two antennas resulting in the simultaneous energyharvesting and data transmission in the SiHaB phase and simultaneously energy harvesting and data reception in both theSiHaB and HyBaC phases In order to obtain optimal resource allocation for the proposed HBCP algorithm an optimizationproblem has been formulated and solved From solving such an optimization problem optimal times and powers will beobtained in the close form Numerical implementation of the proposed HBCP algorithm in the MATLAB software presentsthe better performances of the proposed algorithm compered with similar algorithms i e JOTPA and AB algorithms Key Words 1 Internet of Things 2 Wireless Sensor Networks 3 Cognitive Radio 4 Energy Har vesting 5 Ambient Backscatter

مهدي مهدوي

علي‌محمد دوست‌حسيني

فروغ السادات طباطبا، نغمه سادات مويديان