An Efficient Management System for Wireless Sensor Networks

Wireless sensor networks have garnered considerable attention recently. Networks typically have many sensor nodes, and are used in commercial, medical, scientific, and military applications for sensing and monitoring the physical world. Many researchers have attempted to improve wireless sensor network management efficiency. A Simple Network Management Protocol (SNMP)-based sensor network management system was developed that is a convenient and effective way for managers to monitor and control sensor network operations. This paper proposes a novel WSNManagement system that can show the connections stated of relationships among sensor nodes and can be used for monitoring, collecting, and analyzing information obtained by wireless sensor networks. The proposed network management system uses collected information for system configuration. The function of performance analysis facilitates convenient management of sensors. Experimental results show that the proposed method enhances the alive rate of an overall sensor node system, reduces the packet lost rate by roughly 5%, and reduces delay time by roughly 0.2 seconds. Performance analysis demonstrates that the proposed system is effective for wireless sensor network management

Resource Aware Sensor Nodes in Wireless Sensor Networks

Wireless sensor networks are continuing to receive considerable research interest due, in part, to the range of possible applications. One of the greatest challenges facing researchers is in overcoming the limited network lifetime inherent in the small locally powered sensor nodes. In this paper, we propose IDEALS, a system to manage a wireless sensor network using a combination of information management, energy harvesting and energy monitoring, which we label resource awareness. Through this, IDEALS is able to extend the network lifetime for important messages, by controlling the degradation of the network to maximise information throughput

IoT Based Industrial Production Monitoring System Using Wireless Sensor Networks

The objective of the work is to monitoring the production lines in industry using wireless sensor networks. This work presents the benefits of an automated data collection and display system for production lines. It involves wireless sensor networks for monitoring the productions in industry. Condition monitoring reduces human inspection requirements through automated monitoring, reduces maintenance through detecting faults before they escalate and improves safety and reliability. This work can monitor productions using temperature, voltage and current sensors with support of microcontroller. The relay is acts like a switch to monitor the production lines. In this work, Global System for Mobile communication technique is used to transferring the collected data. The collection of data, it is transferred into computerize spreadsheet in the remote office by authorized personnel for reporting purpose. The system will generate an automated report which stays in place and the management only needs to act base on the results. This work is cost effective automatic data collection is the alternative to manual data collection. It significantly improves the accuracy of the valuable reports for the management. It also reduces the time for identifying the fault using this techniqu

Zigbee based Wireless Sensor Network for Smart Energy Meter

Wireless sensor networks are expanding across a wide range of application scenarios. The most widely used transmitter is "ZigBee," which is used in wireless sensor networks. Based on the IEEE standard known as IEEE 802.15.4, ZigBee is an enabling low-cost technology that offers minimal energy consumption and a low data rate. It is used for remote control, medical aid, home automation, industry control, and other wireless sensor applications, in addition to wireless sensor networks and personal area network applications. This paper aims to develop a wireless sensor network and a protocol for smart energy meter applications. Our proposed system comprises a digital energy meter, a ZigBee coordinator, and a management application. A terminal alert and a cover alarm can be automatically sent to the management software by the wireless meter reading system once it has read the unit. Mistakes from Errors in leakage metering reading to manual meter reading can be avoided. This proposed system will improve efficiency by reducing labor intensity to liberate labor and force. The system setup can accommodate a large number of energy meters with sufficient hop network depth to detect a new energy meter automatically. The technology can be widely used in wireless monitoring and control applications because of its low cost, low power consumption, extended battery life, and mesh networking's ability to extend high reliability to a broader range. To connect a variety of low-power devices wirelessly, ZigBee will satisfy the rising demand. For the future generation of industrial technologies, ZigBee will be deployed.Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP) © Copyright: All rights reserved

GSM BASED INTELLIGENT WIRELESS MOBILE PATIENT MONITORING SYSTEM USING ZIGBEE COMMUNICATION

Miniaturization of biomedical sensors helped the fast development and popularization of information processing and wireless data transmission technology, the research of wireless Medical Monitoring System has became a hot topic. By utilizing the wireless technique to transmit information between medical sensor and monitoring control center, the free space of patients is enlarged, and the efficiency of the modern management of hospitals is improved. Besides, the problem of the lack of unremitted real-time care for every patient, which is caused by the shortage of health care members, is also solved. Therefore, the portable wireless medical monitoring products will become popular in the future market. This paper deals with one of such Medical Application of Wireless Networks

On the Use of an IoT Integrated System for Water Quality Monitoring and Management in Wastewater Treatment Plants

The deteriorating water environment demands new approaches and technologies to achieve sustainable and smart management of urban water systems. Wireless sensor networks represent a promising technology for water quality monitoring and management. The use of wireless sensor networks facilitates the improvement of current centralized systems and traditional manual methods, leading to decentralized smart water quality monitoring systems adaptable to the dynamic and heterogeneous water distribution infrastructure of cities. However, there is a need for a low-cost wireless sensor node solution on the market that enables a cost-effective deployment of this new generation of systems. This paper presents the integration to a wireless sensor network and a preliminary validation in a wastewater treatment plant scenario of a low-cost water quality monitoring device in the close-to-market stage. This device consists of a nitrate and nitrite analyzer based on a novel ion chromatography detection method. The analytical device is integrated using an Internet of Things software platform and tested under real conditions. By doing so, a decentralized smart water quality monitoring system that is conceived and developed for water quality monitoring and management is accomplished. In the presented scenario, such a system allows online near-real-time communication with several devices deployed in multiple water treatment plants and provides preventive and data analytics mechanisms to support decision making. The results obtained comparing laboratory and device measured data demonstrate the reliability of the system and the analytical method implemented in the device.Ingeniería, Industria y Construcció

Motor Energy Management Based on Non-Intrusive Monitoring Technology and Wireless Sensor Networks

This paper proposes a motor energy management architecture, which is composed of a data acquisition platform, a condition monitoring platform, an energy consumption and saving analysis platform, a communication platform, and a motor energy data management platform. Under the guidance of the architecture, an in-service motor monitoring and energy management system is developed based on non intrusive monitoring technologies and wireless sensor networks. The system has two subsystems: a data acquiring and analysis subsystem, and a condition monitoring and energy management subsystem. To evaluate the in-service motor energy usage, motor efficiency estimation methods are discussed. And a motor monitoring front-end device is developed with the implement of the methods introduced. The device is designed as three separate units, including a sensing unit, a processing unit, and a communication unit. Such a flexible design could meet various requirements in the application. The wireless sensor network is a self-organized network with dynamic topology. As a lowcost, robust, and reliable communication network, it is used to connect the front-end devices with the central supervisory station. A WSN node is designed and implemented for the inservice motor monitoring system, which can also be used as a unit of the front-end device. The laboratory tests and plant application show that the system can help the plant managers to improve motor-driven systems