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Research On Wireless Networks Based On Different Services Saving Strategy

Posted on:2015-12-12Degree:MasterType:Thesis
Country:ChinaCandidate:J H ZhuFull Text:PDF
GTID:2298330431985052Subject:Computer system architecture
Abstract/Summary:PDF Full Text Request
With the rapid development of science and technology, wireless network communication technology was widely used in people’s daily lives. Because the wireless terminal is powered by the small battery, so in a limited energy environment, how to enable the user to make full use of energy and maximize energy efficiency becomes a hot topic of wireless networks.According to the wireless network MAC protocol, this paper focused on the study of the issue for the reasonable use of the network to maximize the energy efficiency of the energy. The mathematical model is established according to the principles of IEEE802.11EDCA protocol to send data, and the effective energy-saving algorithms are designed and came true. The research objectives are to maximize the energy efficiency ultimately.The main works of this paper are organized as follows.(1) Research of the theories and key technical difficulties for wireless network data transmission, study the EDCA protocol in detail, and analyze the advantages and disadvantages of the existing wireless network energy optimization algorithm.(2) The relationship between each priority transmission probability and energy efficiency is found by analyzing the influence of the priority-based service differentiation of IEEE802.11Enhanced Distributed Channel Access (EDCA) on energy efficiency. For the setting problem of optimal minimum contention window, EDCA energy optimization algorithm is proposed based on the node optimal transmission probability. Ensuring QoS conditions for each class of business, the algorithm firstly finds the optimal transmission probability of maximizing energy efficiency. According to the number of nodes and optimal transmission probability to optimize the size of the contention window, optimal minimum contention window is set and the energy efficiency is improved. NS2simulation results show that the proposed EDCA energy optimization algorithm based on the node optimal transmission probability can increase network energy efficiency.(3) According to the data transmission characteristics of IEEE802.11EDCA protocol of four priority business, reasonable EDCA energy optimization model is built for sending conflict probability of different priority business. For the model of optimization functions, the proposed EDCA energy optimization model is analyzed abstractly and verified numerically by the software of mathematics9.0. Finally, the model is improved correctly.(4) Energy optimization model based on EDCA proposes an improved EDCA energy optimization algorithm. Based on optimal transmission probability for each type of priority service nodes, the algorithm finds the optimal minimum contention window value of each type of priority service nodes. Adjusting the minimum contention window value for each type of business in EDCA mechanism, So that each type of priority service can be competitive based on the optimal contention window. Thus, taking full advantage of network nodes energy, reducing network nodes transmission collisions and retransmissions, and avoiding network nodes energy waste, ultimately, the overall energy efficiency of the network is improved. NS2simulation results show that, the proposed energy optimization model and improved EDCA energy optimization algorithm are more in line with EDCA for the QoS needs of different priority services, and can improve the energy efficiency of the network nodes in four priority services.The main work of this paper is to establish and analyze the energy model of the IEEE802.11EDCA mechanism by the total probability theory. According to distinguish the users of different business types, the relationship can be identified between energy efficiency and minimum contention window for each type of priority service. Balancing the service hours of different business types, thereby, reducing packet retransmission can be reduced and the unnecessary waste of energy can be avoided. In this paper, the proposed models and algorithms provide a novel scheme for solving the problem of insufficiency energy utilization in EDCA mechanism. This study has some scientific significance and practical value.
Keywords/Search Tags:Wireless Network, IEEE802.11EDCA, Contention Window, Energy Efficiency, Differentiated Services
PDF Full Text Request
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