This group is researching on current issues in the field of Wireless Sensor Networks (WSNs). WSNs consist of a large number of distributed autonomous devices equipped with computation, sensing, data processing, and wireless communication capabilities to cooperatively monitor physical or environmental conditions, such as temperature, sound, vibration, pressure, motion or pollutants, at different locations. WSNs have found applications in various areas including environment and habitat monitoring, healthcare, home automation, military application, traffic control, commercial and industrial applications).Although WSNs is a very active and attractive research area due to its diverse applications, however, certain resolution still exists for the design problems. These include fault tolerance, scalability, low cost, low power consumption, and topology maintenance. Our main research issues are as follows:
Wireless sensor networks are fundamentally intended to provide information about the spatio-temporal characteristics of the observed physical world. Localizing and tracking moving stimuli or objects is an essential capability for a sensor network in many practical applications. Moreover, it is a familiar problem that can be used as a vehicle to study many information processing and organization problems for sensor networks.
One of the most important areas of research in the field of control and estimation is decentralized (or distributed) data fusion. The motivation for decentralization is that it can provide a degree of scalability and robustness that cannot be achieved with traditional centralized architectures. In industrial applications such as military systems, decentralization has significant implications because it can dramatically reduce the time required to incorporate new computational and sensing components into fighter aircraft, ships, and other types of platforms.
Ever wondered how dynamic and complex systems such as brains, body cells, even social networks like Facebook work? The study of complex networks is a young, super-hot, vibrant area of scientific research inspired largely by empirical study of real world networks. Engineers are required to perform theoretical analysis and modeling of such systems to enable growth behavior prediction, fault tolerance, and host of other applications.
Fading Channel Transmission Techniques under Cooperative Robot Squads