First
International Workshop on
Mobile Ad-hoc and Ubiquitous Sensor Networks
(MASN 2005)
URL: www.cs.gsu.edu/~agb/mausn05.htm
November 2-5, 2005
Keynote Talk:
Title: A Novel Framework for Energy and
Application-Aware Data Gathering in Wireless Sensor Networks
Speaker: Professor Sajal K. Das, Director
Center for Research in Wireless Mobility and
Networking (CReWMaN)
Department of Computer Science and
Engineering
The
URL: http://cse.uta.edu/~das,
http://crewman.uta.edu
Abstract:
A wireless sensor network (WSN) is an application-specific information gathering platform where sensors are
required to sense their vicinity (sensing coverage) continuously, consuming
highly limited resources such as energy which may not often be replenishable. Thus, an important issue in sensor networks
is to design energy-aware algorithms and protocols that optimize energy
consumption with a goal to extend the network lifetime, while meeting the user
requirements such as coverage and data reporting latency. The sensitivity to
these requirements varies depending on the type of applications, implying that
the designed algorithms and protocols must also be application-aware. In this
talk, we will propose a novel framework for energy and application-aware data
gathering in large scale, high density wireless sensor networks. In particular,
we will present two strategies developed under this framework: a cluster-based
delay-adaptive data gathering strategy (CD-DGS) and a coverage-adaptive data
gathering strategy (CA-DGS).
The CD-DGS is
based on a two-phase clustering scheme that constructs two types of sensor
links to adapt to the user specified delay constraints, thus saving energy. The
CA-DGS, on the other hand, is based on a coverage-adaptive random sensor
selection (CANSEE) scheme that exploits a trade-off between the desired sensing
coverage (application specific) and data reporting latency. We further enhance
the CANSEE scheme with the help of Poisson sampling technique. Probabilistic
analysis shows improvement on the connectivity of the selected sensors and
reduces the variance on the sensor coverage. Simulation results demonstrate
significant conservation of energy at the cost of small data reporting latency.
Specifically, the higher the network density, the higher is the energy
conservation without any additional overhead.
(This research is funded by the US National Science Foundation.)
Biography: Dr. Sajal K.
Das received B.Tech. degree in 1983 from Calcutta
University, M.S. degree in 1984 from Indian Institute of Science, Bangalore,
and PhD degree in 1988 from the University of Central Florida, Orlando, all in
Computer Science. Currently he is a Professor of Computer Science and
Engineering and the Founding Director of the Center for Research in Wireless
Mobility and Networking (CReWMaN) at the
in wireless and sensor networks, mobile and
pervasive computing, wireless multimedia and QoS
provisioning, mobile Internet protocols, distributed processing and grid
computing. He has published over 350 research papers, directed numerous funded
projects, and holds 5
Dr. Das is
the Editor-in-Chief of Pervasive and Mobile Computing journal, and serves on
the Editorial Boards of 4 international journals including IEEE Transactions on
Mobile Computing and ACM/Kluwer Wireless Networks. He
has served as General Chair of IEEE WoWMoM'05, IWDC'04, IEEE PerCom'04, CIT'03
and IEEE MASCOTS'02; General Vice Chair of IEEE PerCom'03, ACM MobiCom'00 and
HiPC'00-01; Program Chair of IWDC'02, WoWMoM'98-99; TPC Vice Chair of CIT'05,
ICPADS'02; and as TPC member of numerous IEEE and ACM conferences. He is the
Vice Chair of IEEE Technnical Committees (TCPP and
TCCC), and on the Advisory Boards of several cutting-edge companies.