The objective of the presented report focuses on the data acquisition of pressure and heart beat rates from external sensors over the TinyOS 2.x platform. This sensing application may be used in the e-health care field in order to sample the data information. The designed test-bed consists of several hardware devices, containing an MIB520CB USB interface board, two MICAz motes, an MDA300CA data acquisition board and external sensors for the pressure and heart beat rate. The programming language is NesC,which is used to build applications under the TinyOS 2.x environment. Data information is sampled from the external sensors, and this is then realized by the mote via the on-board ADC channel. The values are then transferred from one mote to another over radio communication. Finally, the expected results are transmitted to the PC by using serial communication. The report also discusses the sensing outcomes in order to determine the practical usage of the sensor devices. This project represents a common sensing application in wireless sensor networks, demonstrating a small case within the e-health care monitoring system. In order to meet the specific demands and to save resources, the wireless sensor networks are widely used in various applications. The designed test-bed could be also deployed as a part of larger-scale wireless sensor networks in order to achieve the requirements in relation to the sensing data information for further detailed use in future work.

In recent years, the development of wireless sensor networks has made a great progress. Early projects focused on replacement of existing systems equipped with wires. These systems started out as simple static data collection networks with one smart central node that could decide further actions based on the content of the collected data. Through time, the intelligence has become more decentralized, which means the nodes now can cooperate in a more efficient and dynamic manner. The task given is to evaluate TinyOS and NesC on specific hardware from Crossbow Technology Inc, applied on an application called the Open Secure Office Project. This application is designed to enhance the security without negative effects on comfort in a frequently visited open-plan office. Finally, a real world system demonstration should be performed. We propose a solution where there is no urgent need to cover the entire office area with radio signals to maintain a secure sensor system. This is true as long as all entries and exits to the office area are “guarded” by some base station which has as main task to keep track of people and equipment entering or leaving the office. Small scale tests have been performed which show that it is possible to easily develop and maintain a wireless sensor network security system, that could be coordinated by alternative systems.

Wireless technology has been advancing a lot over the years and it has become mature enough to be used in industrial process control. Wireless sensor networks have overtaken the wired devices and are vastly adapted across the industry. Using wireless technologies in industrial process control results in easy installation and configuration of network and helps in reduction of overall cost. Applying wireless technologies has greater benefits but on the other hand it provides challenges due to harsh industrial environments. Nowadays, wireless sensor devices are smart enough to detect the problems within the network and are capable of producing health reports. To use the capabilities of these smart devices a centralized management is required.  A centralized network manager can manage these smart devices to improve the overall network. Network manager plays a pivotal role because it is a central part of the network and a bad network manager results in network performance degradation. This thesis work addresses the need of centralized network management and proposes a design for the network manager based on the WirelessHART standard. Several algorithms are developed based on the layered architecture of WirelessHART  and a user-friendly graphical user interface is designed for the network manager which is capable of displaying real-time performance and statistics of the network, adding and configuring the nodes, creating routes for the nodes, showing routing tables and neighbour tables and display the network topology. Any change in the network is reflected and displayed by the GUI at run time. The designed network manager is implemented and tested using both simulated packets and real hardware and the work is evaluated using Average Packet Delivery Ratio, Average End to End Delay and by comparing the work to already designed network managers.

The aim of this thesis is to design and implement modules for wireless sensor network ZigBee. These modules could communicate together and share information about measured values. The network will be managed by coordinator of network, which will process data from sensor modules and will decide about next steps around the network.

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The aim of this diploma thesis is to analyze, design and create the architecture of the WSageNt system web interface. The main focus of the system will be traffic monitoring and topology control of the network. The work describes basic technologies, design principles and implementation methods.

Master of Science / Department of Computing and Information Sciences / Gurdip Singh / TinyOS is an open-source component based operating system designed for highly memory constrained wireless embedded sensor network. TinyOS includes interfaces and components for communication management, routing and data acquisition tools to be refined further for custom applications. This project aims at developing a system which detects overlapping paths for data collection in different applications in the network and utilizing that information for efficient data acquisition. This prevents a reconfiguring the entire network of wireless sensor nodes (called motes) for each new application request. The application for initial or first data acquisition request tries to build the tree architecture on motes in the network where each node in the tree knows its immediate parent and children. The application builds the tree routed at the base station for the initial request and each intermediate node sends data to its parent when the data request is made. Each base station can request Light, Temperature and Passive Infrared sensory data from all or a subset of motes present in the system. When a new base station comes and connects to the network through a mote/node in the tree, the system reconfigures only those parts of the tree built in the initial phase which do not overlap with the tree required for the new base station as the root, all the other overlapping parts of the tree are left unchanged. We present experimental result to illustrate the efficiency of the approach.

<p>Wireless Sensor nodes fall somewhere in between the single application devices that do</p><p>not need an operating system, and the more capable, general purpose devices with the</p><p>resources to run a traditional embedded operating system. Sensor node operating system</p><p>such as TinyOS, Contiki, MantisOS and SOS which is discussed in this paper exhibit</p><p>characteristics of both traditional embedded systems and general-purpose operating systems</p><p>providing a limited number of common services for application developers linking</p><p>software and hardware.</p><p>These common services typically include platform support, hardware management of sensors,</p><p>radios, and I/O buses and application construction etc. They also provide services</p><p>needed by applications which include task coordination, power management, adaptation</p><p>to resource constraints, and networking. The evaluation was concentrated on TinyOS</p><p>including an analysis on version 1.x and 2.x resource management and flexibility and its</p><p>operation with the other wireless sensor node operating systems.</p>