The optimal value determination for energy gain of MME to ME coding in wireless sensor networks

Energy efficiency is essential in wireless sensor networks (WSNs), as the majority of sensor nodes run on little battery power. Enhancing energy efficiency in WSNs can lead to extended network lifespan, reduced maintenance expenses and improved overall performance. By implementing appropriate strategies and techniques, WSNs can optimize energy usage, thereby maximizing the utilization of available energy resources and minimizing energy wastage. This focus on energy efficiency is essential for ensuring sustainable and cost-effective operation of WSNs. The manner of signal transmission has a considerable impact on the energy efficiency of wireless sensor networks (WSNs). In WSN applications, the choice of signal transmission technique is influenced by various factors, including energy consumption, transmission distance, interference, noise, and bandwidth efficiency. Finding the ideal balance between energy saving and performance enhancement is the objective. ME (minimum energy coding) and MME (modified minimum energy coding) are two coding techniques commonly employed in WSNs to achieve energy-efficient data transmission. These coding techniques are designed to minimize energy consumption during signal encoding and decoding processes, thereby contributing to improved energy efficiency in WSNs. Minimum Energy (ME) coding reduces the amount of energy required during the encoding and decoding operations in wireless sensor networks (WSNs). It provides a number of advantages that lower energy consumption and improve the overall energy efficiency of WSNs. ME coding algorithms are created to reduce the energy needed for encoding and decoding processes. By optimizing the coding scheme, ME coding reduces the energy consumption of individual sensor nodes, resulting in longer network operation and greater battery life. On the other hand, Modified Minimum Energy (MME) coding, as an enhancement to Minimum Energy (ME) coding, provides additional benefits to wireless sensor networks (WSNs) in terms of energy efficiency. Here are some ways in which MME coding benefits WSNs by improving energy savings. MME coding techniques built upon the principles of ME coding to further optimize energy consumption during encoding and decoding processes. MME coding delivers significantly larger energy savings than ME coding alone because of the coding scheme refinement. As a result, the battery life is increased, and the network's total energy efficiency is raised. This thesis presents an investigation into the optimal value determination for receive energy gain of ME to MME coding in wireless sensor networks (WSNs). First of all, OOK modulation is going to be described and then the operation of ME coding and MME coding is going to be investigated in detail. Their advantages and drawbacks are going to be examined. The optimal value for receive energy gain of MME to ME coding is going to be determined. The receive energy gain of ME to MME coding depends on the rate of high bits (α) and subframe length (Ls). The lower the rate of high bits (α), the more energy is saved. There is an optimal pair for the value of the rate of high bits (α) and subframe length (Ls). In this thesis study, optimality is going to be investigated and analyzed mathematically. Besides, the optimal subframe length (Lsopt) and optimal number of the subframes (Nsopt) that maximize receive energy gain of MME coding relative to ME coding in wireless communication systems are derived analytically.