Thursday, 22nd April 1:15pm - 2:15pm
Title: 3D Wireless Network

Dr. Z. Haas Professor and Director of Wireless Networks Laboratory, Cornell University

Abstract:

The scope of most published works on coverage and connectivity of wireless sensor networks (WSN) is limited to two-dimensional (2D) topologies. However, the increasing interest in using sensor networks for applications such as airborne and underwater surveillance, space exploration, and atmospheric and underground studies, underscores the importance of solving the coverage, connectivity, and routing issues in a 3D WSN. Unfortunately, designing a 3D network is significantly more difficult as compared with a 2D network. One such a problem is to find a node placement strategy that deploys the minimum number of sensor nodes and, at the same time, ensures that all points in the network are within the sensing range of at least one sensor, and while all sensor nodes can communicate with each other, possibly over a multi-hop path. Furthermore, as in most sensor networks, energy conservation is a key consideration. Our previous results have been shown that dividing a 3D space into identical truncated octahedral cells of radius equal to the sensing range and placing a sensor at the center of each cell, provides full coverage with minimum number of nodes. However, this approach would require the ability to deploy and maintain a sensor node at any arbitrary 3D location. In many environments, this is very hard, if not impossible. In this talk, I will discuss extension of our results to achieving full coverage and connectivity in 3D networks, in general, and 3D sensor networks, in particular. More specifically, I will present our results for distributed deployment and management of scalable 3D topologies, which allow maximizing the lifetime of a sensor network and reliable operation. I will also address the problem of routing in 3D networks.

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Thursday, 22nd April 2:15pm - 3:15pm
Title: Future Directions and Perspectives on Wireless Sensor Networks

Dr. S. K. Das, Distinguished Scholar Professor of Computer Science and Engineering, University of Texas at Arlington and Program Director at the NSF

Abstract:  

Rapid advancements in embedded systems, sensors and wireless communications technologies have led to the development of wireless sensor networks (WSNs) including video sensors. Such networks have attractive applications in civilian, military, industry, and government sectors as they can effectively act as the human-physical world interface in future digital world through sensing and actuating. However, the inherent characteristics of WSNs typified by extremely scarce resources (bandwidth, CPU, memory and battery power), high degree of uncertainty, and distributed operations and control pose significant challenges in providing the desired information quality, assurance, reliability, security and privacy. This is particularly important for mission critical applications such as health care and pervasive security.