Prof. Jaime Lloret (firstname.lastname@example.org
) received his B.Sc.+M.Sc. in Physics in 1997, his B.Sc.+M.Sc. in electronic Engineering in 2003 and his Ph.D. in telecommunication engineering (Dr. Ing.) in 2006. He is a Cisco Certified Network Professional Instructor. He worked as a network designer and administrator in several enterprises. He is currently Associate Professor in the Polytechnic University of Valencia. He is the Chair of the Integrated Management Coastal Research Institute (IGIC) and he is the head of the "Active and collaborative techniques and use of technologic resources in the education (EITACURTE)" Innovation Group. He is the director of the University Diploma “Redes y Comunicaciones de Ordenadores” and he has been the director of the University Master "Digital Post Production" for the term 2012-2016. He has been Internet Technical Committee chair (IEEE Communications Society and Internet society) for the term 2013-2015. He has authored 22 book chapters and has more than 380 research papers published in national and international conferences, international journals (more than 140 with ISI Thomson JCR). He has been the co-editor of 40 conference proceedings and guest editor of several international books and journals. He is editor-in-chief of the “Ad Hoc and Sensor Wireless Networks” (with ISI Thomson Impact Factor), the international journal "Networks Protocols and Algorithms", and the International Journal of Multimedia Communications, IARIA Journals Board Chair (8 Journals) and he is (or has been) associate editor of 46 international journals (16 of them with ISI Thomson Impact Factor). He has been involved in more than 400 Program committees of international conferences, and more than 150 organization and steering committees. He leads many national and international projects. He is currently the chair of the Working Group of the Standard IEEE 1907.1. He has been general chair (or co-chair) of 38 International workshops and conferences. He is IEEE Senior and IARIA Fellow.
Grouping nodes gives better performance to the group and to the whole system, thereby avoiding unnecessary message forwarding and additional overheads, thus providing low energy consumption. Grouping nodes also diminishes the average network delay while allows to scale the network considerably. Communications in sensor networks should be as efficient as possible and collaborative methods can enhance their performance. Group-based collaborative wireless sensor networks appear as the proper logical step. When a Wireless Sensor Network is deployed, environment data can be obtained using two sides. The first one is the direct sensing, where the information is measured physically from the medium. The second one is the indirect sensing, which provides the information using the parameters of the wireless network (Received Signal Strength, lost frames, disconnections, etc.) and from the behavior of the traffic and the nodes of the network. Both can be mixed to have a complete picture of what is happening in the aquatic medium and to estimate the right prediction.
In this talk, a cognitive group-based collaborative wireless sensor network for controlling water pollution and underwater monitoring is presented. Discussions about the network parameters that are affected by the environment, how they can be used for environmental monitoring, and their relationship with what is happening in the environment, will be held. Self-learning algorithms, techniques for the representation of the knowledge acquired from the environment, and information management are added to the wireless sensor network in order to have an efficient system. Moreover, the group-based system lets the network send the information according to several cooperation rules and taken decisions. Some examples for wide areas monitoring and for small size areas monitoring in real aquatic scenarios will be shown.