Comprehensive evaluation method for wireless sensor network performance

Abstract

The invention discloses a comprehensive evaluation method for wireless sensor network performance, relates to a least squares support vector regression (LSSVR)-based comprehensive evaluation method for wireless sensor network performance to comprehensively and reasonably evaluate running performance of small and medium-scale wireless sensor networks, and belongs to the technical field of wireless sensors and network communication. The method is characterized by comprising the following four steps of: determining a network running performance index, determining an independent network running factor value by adopting a factor analysis method, establishing an LSSVR-based network performance comprehensive evaluation model, and performing LSSVR-based network performance comprehensive evaluation with low power consumption. The method solves the traditional problems of 'dimensionality curse' and 'over-learning' by skillfully using a kernel function, is quite suitable for the comprehensive evaluation of the small and medium-scale wireless sensor network performance with a plurality of indexes, assists an administrator in timely and accurately grasping the running condition and tendency of the WSN, and provides basis for network running evaluation and optimization.

Description

technical field [0001] The invention relates to a wireless sensor network performance evaluation method, in particular to a wireless sensor network performance comprehensive evaluation method based on a least squares support vector regression machine, which is used to comprehensively and reasonably evaluate the operation performance of small and medium-sized wireless sensor networks, and belongs to wireless sensor networks. and network communication technologies. Background technique [0002] Wireless sensor network (WSN) is an intelligent network system composed of a large number of cheap sensor nodes with computing and communication functions through self-organization to complete specific functions. It has the characteristics of flexible application and convenience, and has broad application prospects. The main application In the fields of disaster warning and help, safety monitoring, health monitoring, medical and health care, space exploration and military information de...

AI Technical Summary

Problems solved by technology

[0005] At present, the evaluation and analysis of network performance is mainly carried out from two aspects: simulation and theoretical analysis. The research mainly focuses on the analysis of the influence of network protocols, algorithms or a single performance index on network performance. However, when evaluating the performance of the network itself, a single Indicators do not fully reflect the overall performance of the network

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