Abstract
This paper addresses network performance evaluation for the Internet of Things. There are a wide variety of networks at the bottom layer of the Internet of Things, such as wireless sensor network, ad hoc network. Therefore, it is not easy for the Internet of Things to evaluate its network performance. For the heterogeneity of the Internet of Things, this paper proposes an application-oriented network performance evaluation model. This model combines the qualitative and quantitative evaluation method, giving the four levels of network performance firstly, and proposes a new network performance evaluation indicator, which is cumulative network performance evaluation value. In this model, it gives the qualitative and quantitative analysis for the performance of the Internet of Things at the application layer, and determines the level of network performance, then calculates the network performance evaluation value and the cumulative network performance evaluation value. By analyzing the network operating data collected, the experimental results show that the network performance level and the two network performance values characterize the status of the Internet of Things accurately. These evaluation results can provide basis for decision making to optimize network configuration and improve network performance.
Highlights
With the rapid development of key technology of the Internet of Things ( IoT ), the IoT has been used widely and commonly, such as transportation and logistics domain, healthcare domain, smart environments domain, personal and social domain, futuristic applications domain [1]
The IoT has a strong heterogeneity at the bottom layer [3] [4], where there are wireless sensor network (WSN) [5], ad hoc network
From the application point of view, regardless of the heterogeneity of the bottom layer of the IoT, this paper proposes an application-oriented network performance evaluation model
Summary
With the rapid development of key technology of the Internet of Things ( IoT ), the IoT has been used widely and commonly, such as transportation and logistics domain, healthcare domain, smart environments domain, personal and social domain, futuristic applications domain [1]. Reference [6], through the network measurement, puts forward a comprehensive evaluation method based on multiple measurement indicators. Reference [7] defines network performance evaluation indicators, constructs a flow model, and selects the link utilization, delay and delay jitter three indicators. Reference [10] divides the network performance indicators into analytical indicators and experimental indicators, and proposes a protocol-oriented network performance indicator development framework model. This model makes a comprehensive network performance evaluation with relative few indicators, and reduces the number of evaluation indicators effectively. Reference [11] makes network performance evaluation with improved fuzzy AHP algorithm, which is based on triangular fuzzy number analytic hierarchy process and network simulation technology
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