In this work, a safe Coal Mine Monitoring system which replaces the traditional coal mine monitoring systems which tend to be wired network systems. This play an important role in coal mine safe production. With continuous enlarging of exploiting areas and extension of depth in coal mine, many laneways become monitoring blind areas, where are lots of hidden dangers. Moreover, it is inconvenient to lay cables which are expensive and consume time. In order to solve the problems, we designed a coal mine safety monitoring system based on wireless sensor network, which can improve the level of monitoring production safety and reduce accident in the coal mine. Zigbee technology provides a direction for scientists who commit to solve the safety monitoring problems of coal mine. The purpose of this study is to propose a solution suitable to mine wireless communication, safety monitoring, give a proof to the further study.
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.
Research of the past years has led to numerous novel developments and approaches for wireless sensor networks (WSNs). However, most previous work has focused on either mathematical analysis or theoretical algorithms with extensive simulation results. In this paper, in order to realistically understand the complexity of WSNs, a ZigBee/IEEE 802.15.4 platform has been designed and implemented. Based on an IEEE 802.15.4 radio and ZigBee protocol stack, the developed ITRI ZBnode is an autonomous wireless communication and computing platform aimed at fast prototyping and research in WSNs. The platform attempts to provide a low data rate, low power, and low cost wireless networking on the device-level communication. Finally, examples of tree and mesh network formation are provided to demonstrate practicability of the developed ZBnode platform.
Abstract-The wireless Keywords: WSN, SHM, Routing Protocols I. INTRODUCTIONWireless Sensor Network is the wireless network which is the combination of autonomous sensors to monitor or control environment conditions. Information that are to be collected or sensed are temperature, pressure, humidity, motion, heat, sound, light, electromagnetic field, vibration, images, pollutants etc. [1][2][3][4][5][6][7].The popularity of WSN has increased due to growth in Micro-Electro-Mechanical Systems (MEMS) technology. The concept of wireless sensor networks is based on a simple equation: Sensing + CPU + Radio = Thousands of potential applications [8].The sensor node has limited resources like energy, size, memory, computational power, communication range, bandwidth, so a large no of sensor nodes are distributed over a area of interest for collecting the information. So these nodes communicate with each other either directly or through intermediate nodes and thus form a network. So each node works as a router. The concept of is to provide the path or route between source to sink via intermediate nodes. The central goal of the routing in the network layer is to find out the minimum cost path for the packets from source to the sink. Data are routed from one node to other node using routing protocols. Routing protocols specifies how routers (sensor nodes) communicate with each other. Routing algorithm chooses the routes between nodes. If WSNs nodes are more powerful or mains-powered devices in the vicinity, it is beneficial to utilize their computation and communication resources for complex algorithms and as gateways to other networks. New network architectures with heterogeneous devices and expected advances in technology are eliminating current limitations and expanding the spectrum of possible applications for WSNs considerably [9].
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