Keynote Speaker
| Speaker Name | Dr. Robin Doss |
| Title of Talk | Information Discovery in Wireless Sensor Networks |
Biography
Dr. Robin Doss joined the School of Information Technology, Deakin University, Australia, in 2003 and is currently the Associate Head of School (Development & International). Prior to joining Deakin University, he was part of the technical services group at Ericsson Australia and a research engineer at RMIT University. Robin received a Bachelor of Engineering in Electronics and Communication Engineering from the University of Madras, India in 1999, and a Master of Engineering in Information Technology and a PhD in Computer Systems Engineering from the Royal Melbourne Institute of Technology (RMIT), Australia in 2000 and 2004 respectively. His PhD thesis was on mobility prediction for next generation wireless networks. In 2007, he also completed a Graduate Certificate in Higher Education from Deakin University.
Dr. Doss is a senior researcher within the network security and computing (NSC) research lab at Deakin University and has made significant contributions in the areas of network security, network design and protocol development for wireless networks. His research has focused on information gathering in wireless sensor networks, defense against distributed denial of service (DDoS) attacks in the Internet, system recovery in mission critical wireless networks and secure and efficient communication in near field systems. His research has been funded by the National Security Science and Technology (NSST) branch of the office of national security in collaboration with the Defence Signals Directorate (DSD), the Australian Research Council (ARC) and industry partners. Dr. Doss was part of the team of researchers funded through the Research Support for Counter Terrorism (RSCT) initiative of the Australian government to provide advice to the department of Prime Minister and Cabinet.
In 2006, Dr. Doss was a visiting scientist at IBM Research, Zurich Research Laboratory (ZRL), Switzerland where he contributed to the European Union project, e-Sense. Dr. Doss has served as the chair of several international symposia, workshops and conferences in the areas of wireless communication and network security. He serves on the technical programme committee for several conferences on wireless communications and is a regular reviewer for international journals and PhD theses. He is also an affiliate researcher with the ARC Research Network on Intelligent Sensors, Sensors Networks and Information Processing (ISSNIP).
He has published widely and his research results have been published in the IEEE Transactions on Parallel and Distributed Systems, IEEE Transactions on Information Forensics and Security, IEEE Transactions on Dependable and Secure Computing, IEEE Communications Letters, Computer Networks and Ad Hoc Networks among others.
Talk description
The data gathering capabilities of wireless sensor networks (WSNs) are particularly attractive for mission critical operations that can be deployed in unattended and hostile environments such as battlefield surveillance, military reconnaissance and emergency response; so intelligence can be gathered without the risk of human casualties. Traditional approaches for information discovery in WSNs have assumed the communication pattern as many-to-one where sensors gather information and then push to a central data repository, the “sink”. However, mission critical applications on WSNs are intended to work without a main control centre (such as a sink) and they demand life/time critical information and support for unique traffic patterns that maximize the network lifetime. Further, the nature of such mission-critical applications requires high quality of service (QoS) requirements for the information discovery process. Many emerging applications for WSNs require dissemination of information to interested clients within the network and require support for differing traffic patterns. These requirements make information discovery a challenging task because the complexity and energy-constraints of wireless sensors makes this a non-trivial problem. Early approaches to information discovery, such as flooding and gossiping with push-pull strategies use broadcast communication. For instance, in a military application, a sensor network might be deployed for enhancing the soldiers’ awareness when visibility is low. Sensors that detect an event can “push” this information out to every sensor in the network (e.g., sensors detect tanks and enemies and can periodically “push” that information to the other sensors on the network) or they can wait and allow a sensor to “pull” this information through querying (e.g., soldier sends a query such as “Where are the tanks or enemies?”). The efficiency of “push” or “pull” methods varies and depends on the demand for information. However, when the frequency of events and queries are not taken into consideration, pure pull-based or push-based methods are inefficient in real deployments. Recent approaches for information discovery, such as Comb-Needle, Double Ruling and Cross Roads, aim to successfully balance push and pull approaches to improve the QoS in terms of efficiency and lifetime of the WSN.
In this talk we will look at the challenges of information discovery in a multi-dimensional wireless sensor network. A multi-dimensional WSN is defined as a WSN that is deployed to gather and store data related to multiple attributes.