SUMMARYWireless sensor networks (WSNs) are composed of thousands of smart-sensing nodes, which capture environment data for a sink node. Such networks present new challenges when compared with traditional computer networks, namely in terms of smart node hardware constraints and very limited energy resources. Ubiquitous computing can benefit from WSNs from the perspective that sensed data can be used instead of the user without explicit intervention, turning ubiquitous computing into a reality. Internet connectivity in WSNs is highly desirable, featuring sensing services at a global scale. Two main approaches are considered: proxy based or sensor node stack based. This second approach turns sensors into dataproducing hosts also known as 'The Internet of Things'. For years, the TCP/IP (Transmission Control Protocol/Internet Protocol) suite was considered inappropriate for WSNs, mainly due to the inherent complexity and protocol overhead for such limited hardware. However, recent studies made connecting WSNs to the Internet possible, namely using sensor node stack based approaches, enabling integration into the future Internet. This paper surveys the current state-of-the-art on the connection of WSNs to the Internet, presents related achievements, and provides insights on how to develop IP-based communication solutions for WSNs today.

Born on military applications, wireless sensor networks(WSNs) application grew on the promise of environment sensing and data processing capability at low cost. These networks can hold hundreds or even thousands of smart sensing nodes with processing and sensing capabilities and even integrated power through a dedicated battery. This paper surveys on the application of wireless sensor networks to healthcare promotion, namely with the use of biosensor technology applied to body sensor networks. On a wireless body sensor network, a person wears biosensors to gather data, while doing their daily activities. Currently, engineers and medical staff are cooperating on findingnew ways to properly gather meaningful data on-site and achieve a convenient way to process these data for research and on-site medical decision. New challenges that such approach brings are also considered. Moreover, it is shown that wireless sensor networks provide the technology to built wireless sensing and create a convenient infrastructure for multiple data gathering in healthcare applications. Together with real successful examples, we demonstrate the great usefulness of wireless sensor networks in healthcare promotion. The paper concludes with some guidelines for future work.

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Abstract-Teams can sometimes reach hundreds of professionals distributed over several countries [2].In the search for improving collaborative work over the Internet scientists at CERN developed the hypertext markup language (HTML) and the world wide web (WWW) [3]. The Internet became a pervasive technology for collaboration and an absolutely indispensable tool for years to come.The advent of mobile communications supported on smart mobile devices like smart phones and personal digital assistants (PDAs) offer a unique opportunity to develop efficient tools for mobile collaboration while on the move.Moreover, these devices present features that only fixed computers could offer not so long ago, such as email and Internet connectivity. Mobile devices can accelerate work and simplify coordination processes [4].Companies are spending fortunes on communication between personnel for collaborative work. However, sometimes a decision is not taken because a person is not available, does not answer the phone or, basically, is unreachable. More than knowing the location of such person, it is important to acknowledge the person's current status, thus creating a user profile. The user profile must provide enough information about availability, location and possible communication means. Then, location-awareness must be combined with context-awareness, in order to effectively allow communication between the different human resources of a given corporation, managing user's presence inside the corporation.The popularity of instant messaging applications can be explained easily with the combination of real-time chat and profile status exchange. However, such approach implies that the other user is also connected to reply. When a mobile scenario is taken into account, constant data networks connectivity greatly impacts battery life and communications costs, while GSM/UMTS may be available, allowing a simple phone call or short message (SMS). Our application takes advantage of current mobile technologies in behalf of the user, where other approaches lack [5][6][7].The MP-Collaborator application is all about user presence inside an organization. This mobile application augments a mobile device by combining location information, mobile communication (call and SMS), scheduling information (through Pocket Outlook Calendar), creating and sharing the user profile. The communication paradigm allows server-less user interaction, through peer-to-peer communication among different mobile nodes.Mobile ubiquitous computing has evolved greatly since the appearance of the adequate mobile devices such as cell phones or PDAs, which feature technologies and functionalities such as Wi-Fi, 3G/GSM, GPS receiver; with processing power and

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Abstract-Wireless sensor networks span from military applications into everyday life. Body sensor networks greatly benefit from wireless sensor networks to answer the biofeedback challenges in healthcare applications. In such applications, data is of fundamental importance, it must be reliable and within easy reach. However, most solutions rely on a personal computer to process and display sensor data. In this paper we propose a mobile solution that draws on three-tier body sensor networks to dramatically improve data accessibility, through the use of a Java and Bluetooth-enabled mobile phone. The mobile tool features data monitoring and presentation. This approach allows data visualization by the patient or medical staff without a portable computer or specific monitoring hardware. We hope to contribute to the adoption of biofeedback for early detection of health abnormalities and lower the budget that governments spend each year in healthcare.