Research Unit 1

Fun in Numbers (FinN) is a platform for developing and playing mobile, locative and collaborative distributed games using wireless sensors. Using FinN, a very large and diverse set of games can be enhanced, by maximizing the on-game experience and collecting statistics for offline, web-based view. At the same time the essence of such games remains the same: fun in large numbers, in every place and at any time. FinN is implemented using a combination of JAVA Standard and Mobile editions, while on the hardware part we use wireless sensor devices, called Sun SPOTs. In the future, mobile phones that have some kind of sensors embedded, or other custom devices can be used for the same purpose.

A simulation toolkit which extends the ns-2 simulator by adding important functionality for simulating wireless networks and optimizing certain critical simulator operations. The added features focus on providing users with the necessary tools to study wireless networks of high dynamics; in particular, to implement advanced mobility patterns, obstacle presence and disaster scenarios, and failures injection.

webDust is a generic and modular application environment for developing applications for wireless sensor networks that allows the application implementor to create a customized environment that will provide a wide range of services for wireless sensor networks.

The Distributed Algorithms Platform (DAP) is a software platform aiming to support the implementation, simulation, and testing of distributed algorithms. Its focus is on implementing distributed algorithmic ideas developed for wired and mobile wireless network systems. It is implemented in C++ using LEDA. To transfer the full power of LEDA to distributed experiments and implementation of distributed algorithms, DAP is provided as a LEDA Extension Package.

ECC-LIB is a fully-equipped, portable, and modular library for Elliptic Curve (EC) Cryptography that allows for the easy development of EC cryptographic protocols, and which can be readily tailored to suit different requirements and user needs. The library is implemented in ANSI C using the GNU Multiple Precision library for high-precision floating point arithmetic. The full source code is included, written entirely in standard, portable ANSI C.