Kolloquiumsvortrag am 31.05.2010 von Professor Dr. Murthy (IIT Madras, Indien)

Wolfgang Effelsberg effelsberg at informatik.uni-mannheim.de
Mi Apr 28 11:48:49 CEST 2010


Liebe Kolleginnen und Kollegen,
liebe Mitarbeiter,
liebe Studierende,

hiermit lade ich Sie herzlich zu unserem Informatik-Kolloquium am
   31.05.2010
   um 17:15 h
   in Raum A 5  C 013
ein. Es spricht Professor Dr. Siva Ram Murthy (Indien) zum Thema

     Information Discovery in Wireless Sensor Networks

A Wireless Sensor Network (WSN) consists of a large number of tiny,
battery operated, possibly mobile, self adjusting nodes with limited 
on-board processing, environmental sensing, and wireless communication 
capabilities. Apart from sensor nodes, a typical WSN consists of one or 
more sink nodes. Sink nodes are powered, and they are storage points for 
most of the data emerging from environmental sensing of sensor nodes. We 
consider the problem of information discovery (also referred as query 
processing or searching) in pull-based unstructured WSNs. In pull WSNs, 
the sink node sends queries for the required information, and in 
unstructured WSNs, the search initiator has no clue about any of the 
locations of target information and search proceeds blindly. In the 
existing proposals, the cost of search (in terms of number of 
transmitted bytes) increases with an increase in the density of the WSN. 
This limits the scalability of these protocols, especially for densely 
deployed WSNs. Even in the case of sparse WSNs, the cost incurred by 
these protocols is huge, making them infeasible for applying to 
energy-constrained networks like WSNs. We propose Increasing Ray Search 
(IRS) and Coverage-Based Expanding Ring Search (CERS) protocols for 
energy-efficient and scalable search in dense WSNs. IRS and CERS are 
based on the principles of area coverage and trajectory-based 
forwarding. These protocols assume location awareness for sensor nodes, 
and they are applicable to dense WSNs. We also propose Level Biased 
Random Walk Search (LBRW) and Several Short Random Walks Search (SSRW) 
protocols for energy-efficient and scalable search in WSNs. LBRW and 
SSRW do not assume location awareness for sensor nodes and work well for 
both sparse as well as dense WSNs.

Bio:
Siva Ram Murthy received his Ph.D. degree in Computer Science from the
Indian Institute of Science, Bangalore and is currently a Professor in 
the Department of Computer Science and Engineering at IIT Madras, India.
He is the co-author of the textbooks "Resource Management in Real-time
Systems and Networks" (MIT Press, Cambridge, Massachusetts, USA), "WDM 
Optical Networks: Concepts, Design, and Algorithms" (Prentice Hall, 
Upper Saddle River, New Jersey, USA), and "Ad Hoc Wireless Networks: 
Architectures and Protocols" (Prentice Hall, Upper Saddle River, New 
Jersey, USA). Prof. Murthy is a Fellow of the Indian National Academy of
Engineering, an Associate Editor of IEEE Transactions on Computers, and
a Subject Area Editor of the Journal of Parallel and Distributed Computing.
--
Prof. Dr. Wolfgang Effelsberg                 Tel: +49 621 181 2600
Praktische Informatik IV                      Fax: +49 621 181 2601
University of Mannheim        effelsberg at informatik.uni-mannheim.de
68131 Mannheim, Germany      pi4.informatik.uni-mannheim.de/~effels