Information Technology for Maximizing Energy Consumption for Useful Information Traffic in a Dense Wi-Fi 6/6E Ecosystem

Abstract

In Wi-Fi standards, a relatively narrow range of frequency spectrums is declared as working, on the operation of which additional restrictions are imposed in different countries. When creating dense wireless network ecosystems focused on massive information traffic, this circumstance causes significant interference even in the case of using Wi-Fi 6/6E-compatible equipment. An effective solution to this problem is the implementation of a centralized management mechanism for the relevant parameters of the target network ecosystem. The growing attention to ecology and rational use of electricity makes the problem of maximizing energy consumption for useful information traffic in a dense Wi-Fi 6/6E ecosystem an urgent task. Only the addressed information traffic between the transmitter and the target subscriber, which are subjects of the OFDMA technology and the MU-MIMO multiple access system (with an emphasis on the latter), is considered useful. To solve the problem, the authors formalized the Wi-Fi 6/6E ecosystem’s energy consumption model, which takes into account the specifics of OFDMA and MU-MIMO, the influence of the communication channel characteristics on the speed of target information transfer, and detailed energy consumption for maintaining the network infrastructure in a functional state. Based on the created model, the research problem is represented by the difference between two monotonic functions, relative to which the problem of optimization with restrictions is set. The process of solving this problem is presented in the form of information technology with a branch-and-bound hierarchy and a nested unconditional optimization problem. The results of simulated modelling in the MATLAB-NS3 environment showed a significant advantage of the authors’ approach. The energy power consumption by the Wi-Fi 6/6E ecosystem, the parameters of which were adjusted with the help of the authors’ information technology, decreased by more than four times.

Investigation of the Information Interaction of the Sensor Network End IoT Device and the Hub at the Transport Protocol Level

“…The chosen subject area is characterized by a high intensity of research. As confirmation of this fact, we mention both highly cited [1][2][3][4][5][6][7][8][9] and new research works [10][11][12][13][14][15].…”

“…In [10], T. Toprasert and W. Lilakiataskun introduce a Markov Decision Process (MDP) aimed at improving congestion avoidance. The researchers argue that the MIMD mechanism surpasses both TCP-Illinois and TCP-Scalable in managing window size congestion.…”

“…TCP/IP uses a four-layer model with specific protocols at each layer. The diagram below (Figure 1) shows a comparison of the protocols currently in use and those most likely to be used for IoT [8][9][10] in the future. Figure 1 shows that most changes will occur at the communication and application layers, while the network and transport layers are likely to remain unchanged.…”