2 research outputs found
Contributions to Distributed Spatial Compression in Wireless Sensor Networks
Projecte final de carrera fet en col.laboració amb University of Southern CaliforniaPremi Cà tedra Red.es en l’Àrea de Sistemes de la Informació al millor Projecte de Fi de Carrera d'Enginyeria de Telecomunicació. Atorgat per Cà tedra Red.es. (Curs 2010-2011)This thesis presents several contributions in the field of distributed spatial compression
inWireless Sensor Networks. First, since in most of the spatial compression
schemes some nodes (raw nodes) need to broadcast their raw data to allow other
nodes (aggregating nodes) to perform compression, we design several distributed
heuristics which, via local communications, split the nodes into raw/aggregating
subsets and optimize the amount of energy consumed in the network. We also extend
previous work in the use of graph-based lifting transforms for data compression
in distributed data gathering applications, to networks with more than one sink,
and scenarios where all data has to be available at every node. Additionally, under
the scope of these contributions, we design a new energy-efficient multicast routing
algorithm, which is based on the minimum Steiner tree and exploits the broadcast
property of wireless communications. We prove via computer-based simulations
that our methods reduce the energy consumption in the network in comparison
with existing approaches.Award-winnin