DESIGN AND OPTIMIZATION OF A RATE ADAPTATION ALGORITHM FOR ENERGY HARVESTING TRANSMITTERS
By: CIHAN EMRE KEMENT
The need for energy efficient communication frameworks is growing. Energy harvesting communication constitutes an important part among such systems. This thesis aims to design and optimize a rate adaptation algorithm for transmitters of such systems in order to achieve energy efficiency. An optimal offline rate scheduling problem with battery constraints is solved by using iterative and heuristic techniques. Furthermore, it is shown that an additional energy saving is possible by changing the optimization problem to minimize both energy usage and energy waste. In addition to this, an online energy-efficient and energy harvesting-aware routing protocol for energy harvesting ad-hoc wireless sensor networks is developed. The protocol is observed to achieve a longer lifetime than some of the most popular current routing methods.
Energy Harvesting Wireless Sensor Networks, Transmission Rate Adaptation, Sequential Unconstrained Minimization Technique, Genetic Algorithm, Energy Efficient Routing