Fairness Analysis In Wireless Sensor Netwoks

With the expansion of wireless sensor network (WSN) technology and the emergence of the Internet of Things and ubiquitous network concept,"information service" rather than "connection service" will become the basic feature of ubiquitous information society. Wireless sensor network functions as the information collection engine and perception extension of Internet of Things. Its core value is the ability to collect massive information in a multi-angle, multi-parameter and close way. Hence, wireless sensor network is the essential supporting sensing network of Internet of Things. Its stability and high efficiency is critical for information quality and service quality of intelligent application of upper layers. Important issues facing the Internet of Things include:How to optimize the network resource, to enhance the network utility and to strike a balance between various optimization objectives.The network resources fairness problem is classic resource allocation issue. Fairness was first proposed as an economic problem, and then widely applied to the computer network performance, stability, and tradeoff optimization problems after the1990s. The key issues concern about resource allocation when multiple individuals competing for limited network resources (bandwidth, energy, processing time, etc). Main research problems in this domain include how to select specific concept of fairness, to define resource allocation strategies and to determine the quantitative criteria. On the basis of the in-depth study of the WSNs and fairness theory, combined with technical thoughts such as collaborative optimization, cross-layer strategy and multi-objective optimization, this paper explores the fairness technical framework and studies fair resource allocation problem in WSNs. The paper also takes a specific network environment into consideration, balances the optimization of energy and throughput so as to improve network performance, increase network utility and provide better service for the intelligent application services.The content and contributions in this paper include:1. Systematically study the fairness concept and the relationship between its different definitions; based on the concept, analyze research methods and mathematical models, analyze the main research problems of fairness in wireless networks, such as self-organizing network;2. Based on technical thoughts such as collaborative optimization, cross-layer strategy and multi-objective optimization, the paper propose fairness technical framework to provide possible solutions for protocol stack optimization, multirate network improvement and multi-target multi-layered collaborative optimization.3. Considering the scenario of multirate wireless sensor network, adopt proper fairness concept to optimize the network performance, analyze the optimized results and constrast with original ones in a quantitative way. Especially, in response to energy resource scarcity in WSN, the paper considers energy factor in optimized result and strikes a balance between the conflict objectives.4. Design and implement protocol in accordance with theoretical analysis. Using NS2simulation software platform for network simulation, the paper analyze simulation results to verify the theoretical analysis and provide statistical data.