Traditional communication protocols focus on how to integrate a single wireless network with the Internet. Thus data from all wireless devices in that network can be gathered, sank, and provided to users via a friendly interface using web pages. These protocols offer limited automation. Much training is required for users to analyse data from different wireless networks. To resolve this issue, recently many researchers are contributing to design and implement an appropriate protocol for the communication between a heterogeneous wireless network and the Internet [1-3]. In this paper, we present a scalable and flexible communication protocol which is designed to work as an interface between the Internet and various wireless networks in a heterogeneous network, to store information and to provide web services to end users. Using web services, users can interact with wireless devices remotely and easily. The current implementation is based on a Linux server. This server uses different communication interfaces to talk to various wireless networks. From these communication interfaces, data is acquired, processed, and stored in the server. Algorithms are developed to analyse data in data processing stage to maximize automation. Meanwhile this server works as a web server and provides web services to remote users. Current studied wireless protocols include ZigBee, Bluetooth, and Wi-Fi. And our communication protocol can be scaled to work with more wireless protocols and developed into a distributed system.
In this paper, we investigate the sensor localization problem and present Stochastic Radio Interferometric Positioning System with Unsynchronized Modulated Signals (SRIPS_UMS). Previous radio interferometric positioning methods have limitations include (1) strict hardware requirements for Received Signal Strength Indicator (RSSI) circuitry (2) time synchronization problem between distributed hardware. SRIPS_UMS overcomes these by using unsynchronized interferometric modulated signals. Its viability and advantages are demonstrated through mathematical models and extensive simulations. Further, the ongoing hardware implementation based on CC2420 is presented.
Smart health care system has been widely studied by researchers in recent years. Various system design schemes have been proposed for the purpose of enhancing the performance of traditional hospital-centered health care system. Equipped with wireless devices, the innovative system is capable to offer intelligent monitoring and control. In this paper, the authors present an improved web-based motion detection system for health care. The algorithm running on it can detect different motion patterns for individuals and perform well across different hardware platforms, such as Android phones and sensors. The authors use Contiki and its supported low-power wireless standards for 6LoWPAN-based Wireless Sensor Network (WSN) to address security issues and realize real-time bidirectional communication. The Web of Things (WoT) integrates data from resource-constrained sensors into web applications and allows the realization of this smart system. Further, a technical evaluation is given to evaluate this system.
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