一种面向实验室安全监测WSN的自适应分段聚类多跳路由协议研究

Study on Adaptive Subsection Cluster Routing Protocol with Multiple Hop for Laboratory Safety Monitoring WSN

本文研究了一种面向实验室安全监测WSN的自适应分段聚类多跳路由协议,该协议由两个层次组成:异常数据预处理和WSN网络参数优化。异常数据预处理包括瞬时性异常数据分析、故障性数据预处理和数据有效性判断。然后本研究通过优化自适应参数(如跳跃次数、跳跃距离等),寻求发现一种降低系统能耗的最优方案,并且可以平衡系统其他指标来降低能量消耗从而延长网络系统的生命周期。根据实验室安全监测的结构特点,研究体系基于多个实验室房间的空间结构,设立多个隔离子单元的结构(如防火区、隔离门等)。相应的,基于子单元结构设计而本研究引入等间隔多跳的传输方案。该设计便于有效地将灾害隐患隔离在防护区内,提高实验室整体安全系数。

In this paper, an adaptive segmented clustering multi-hop routing protocol for laboratory security monitoring WSN was studied. The protocol consists of two levels: abnormal data preprocessing and WSN network parameter optimization. Abnormal data preprocessing includes transient abnormal data analysis. The fault data preprocessing and data validity judgment is also considered. Then, this study seeks to find an optimal scheme to reduce the energy consumption of the system by optimizing the adaptive parameters(such as the number of hops, jump distance, etc.). And other indicators of the system can be balanced to reduce energy consumption. Thus this protocol can prolong the life cycle of the WSN. According to the structural characteristics of laboratory safety monitoring, the research system is based on the spatial structure of multiple laboratory rooms, and the structure of multiple ion isolation units(such as fire zone, isolation door, etc.)is set up. Accordingly, based on the sub unit structure design, this paper introduces the equal interval multi hop transmission scheme. The design effectively isolates the possible danger in the protection area, and improves the safety index of the whole laboratory.