Wireless Network Monitoring System Research Articles

Wireless Network Monitoring System for River Ice Environment Based on a Data Fusion Algorithm

There are still quite a few problems in river ice environment monitoring by remote monitoring network, such as the increase of the various sensor nodes and network capacity overload due to the dense deployment, and the decrease of the life expectance of the network. In view of this, the improved K-means data fusion algorithm was proposed to fuse a variety of data by a novel self-developed sensor. Furthermore, the resilient BP network was employed to build a data model database, so as to identify the overall river ice environment at the back-end remotely in real time. Simulation verification and comparison test results show that the proposed algorithm can achieve efficient and accurate data transmission by various sensors and the existing sensor network during the real-time monitoring of the river ice environment.

Development of master–slave monitoring systems for automobile exhaust using integration of ZigBee and GSM networks

Automobile exhaust has become one of the important factors that affect atmosphere environment and cause environmental pollution. Therefore, it is necessary to do a good job of automobile exhaust detection. However, existing surveillance systems for such a poisonous gas still have some drawbacks like a limited network function, wiring complexity, a small signal coverage, poor compatibility. To overcome above disadvantages, this paper presents a master–slave wireless network monitoring system by integrating ZigBee and GSM technologies. The detected gas status from the Remote Detection Unit can be transmitted to Master Monitoring Station via self-organizing ZigBee network. The Master Monitoring Station connected with the Monitoring Server is to process the data received and thus send mobile phone real-time alarm information via GSM module. Simultaneously, the Monitoring Server can display the gas status and record it in the database online. Also, it can adjust gas warning level according to the temperature and humility of environment. Experimental results show that the proposed system is feasible in terms of stability reliability, self-organizing and wide area range, achieving the expected design goals in data acquisition and transmission, especially in simplifying equipment installation and wiring, improving system mobility and portability and remote monitoring.

Energy-efficient heterogeneous resource management for wireless monitoring systems

Abstract Various energy-saving designs have been proposed for reducing the power consumption of processors through dynamic voltage and frequency scaling (DVFS). When dynamic random access memory (DRAM) or peripheral power consumption is high, dynamic power management (DPM) can be adopted to dynamically activate or deactivate devices or to switch them into energy-saving states during idle periods. This paper proposes a heterogeneous resource management mechanism to manage device scheduling for multiple tasks and task scheduling in a processor. A wireless network monitoring system was analyzed as a case study, wherein a resource sharing mechanism was developed for managing the scheduling of multiple wireless adapters, and the concept of instantaneous utilization was leveraged to enable chain-based task scheduling. This paper explores DVFS and DPM energy saving techniques for peripherals and a processor by considering both the required device time and processor time for each task without violating performance requirements under constraints of buffer size. The proposed algorithms were then implemented on a wireless network monitoring system and real traces were collected from a laboratory and downloaded from the UMass Trace Repository for use as inputs. A series of experiments was conducted to evaluate the quality of our algorithms for energy saving within the constraints of system performance requirements and hardware resources.

Water-Saving Monitoring System Design Based on LabView Simulation Platform

A water-saving irrigation monitoring system was designed based on ZigBee wireless sensor network and LabView simulation platform. This system can solve the problems of unnecessary waste caused by the traditional artificial irrigation water and wiring complex of water-saving control system. The information of each node and data acquisition can be detected by the ZigBee wireless network monitoring system. Upper machine was designed by LabView virtual design platform, and all aspects of organic characteristics of the crop water requirement rule were combined through the fuzzy control decision support system. The date of the irrigation water would be directed, and achieved a fine management of water and scientific irrigation.

Research on the Mine Safety Monitoring System Based on Wireless Sensor Network Technology

The development of computers wireless network monitoring system mainly includes steps such as the selection of transmission protocol, the calls of database program, data display and automation implementation and so on. The transmission speed of protocol TD-SCDMA is faster. In addition, it also can transmit voice and pure data files. Thus, this article selects TD-SCDMA protocol as transport protocol of wireless sensor networks. On the basis of the software OLEDB, this paper has developed ActiveX Data Object program, and has implemented the safety supervision automation process of wireless sensor network technology. Finally, this paper uses VC++ software to make a numerical simulation experiment on computer programs by taking an example of coal mine gas monitoring. At the same time, through the display on the window, it is the gas concentration monitoring curve that is obtained when the mine safety is abnormal, which provides the safeguard for mine personnel safety and normal work.