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This work presents the design of low rate and low power sensor node in wireless based sensor network for early detection and monitoring of fire in environment. It uses the DHT11 digital temperature – humidity sensor for measurement and MSP430 microcontroller for processing and implementing best algorithm from the comparison algorithm and DST algorithm using Dempster-Shaffer Theory for fire detection. The detected information is transmitted to the computer system through XBeepro for short distance wirelessly. The performance of algorithms are analyzed and tested with the metric un_detect fire. The information is shared in real time to the owner/ fire station/ police and all other responsible persons by the computer system using teamviewer software through Internet. The DST has more software design complexity than comparison algorithm. But it gives better performance than comparison.

Internet of Things (IoT) provide a good chance to build powerful system in fire industry. The growing ubiquity of radio-frequency identification (RFID), wireless sensor network and mobile give fire area related applications by high leveraging level. This paper review about the current research, technologies and applications of IoT in flre related industries. This paper done a survey of identifying research trends and challenges in fire industries and summarizes systematically. The fire IoT aims to connect different things over the networks related with fire. Service Oriented Architecture is applied to support fire IoT. In that layers interact each other for monitoring fire and products. This paper functionally realizes some of the layer required for fire monitoring and industry. Sensing layer is functionally realized with WSN node with sensors, RFID tagged device and Video node for fire and product monitoring. All things such as sensor network, mobile network are connected together in the network layer. Service layer and interface layer are used to realize Mobile node data, WSN node data display and graph display for the fire related parameters.

Sensor networks have the potential to impact many aspects of medical care greatly. By outfitting patients with wireless, wearable vital sign sensors, collecting detailed real-time data on physiological status can be greatly simplified. In this article, we propose the system architecture for smart sensor platform based on advanced wireless sensor networks. An emerging application for wireless sensor networks involves their use in medical care. In hospitals or clinics, outfitting every patient with tiny, wearable wireless vital sign sensors would allow doctors, nurses and other caregivers to continuously monitor the status of their patients. In an emergency or disaster scenario, the same technology would enable medics to more effectively care for a large number of casualties. First responders could receive immediate notifications on any changes in patient status, such as respiratory failure or cardiac arrest. Wireless sensor network is a set of small, autonomous devices, working together to solve different ...