TY  - CHAP
AU  - Vincze, Zoltán
AU  - Vass, Dorottya
AU  - Vida, Rolland
AU  - Vidács, Attila
ED  - Steven, M. Furnell
ED  - Paul, S. Dowland
TI  - Adaptive Sink Mobility in Event-driven Clustered Single-hop Wireless Sensor Networks
T2  - Proceedings of the 6th International Network Conference, INC 2006
PB  - University of Plymouth
CY  - Plymouth
SN  - 9781841021577
PY  - 2006
SP  - 315
EP  - 322
PG  - 8
UR  - https://m2.mtmt.hu/api/publication/2618973
ID  - 2618973
AB  - Energy efficient operation is of paramount importance in wireless sensor networks. In this paper we propose a novel solution to rterrea.se energy consumption by adaptively moving the sink node. We assume an event driven scenario, where only a reduced number of activated sensors report to the sink node. We also assume that these events have to be reported in real-time, a requirement that makes the existing random or controlled sink mobility solutions inappropriate. We define three different strategies to adaptively move the sink node; the goal is to reduce the communication distance, and thus the energy consumption, of the reporting nodes. The efficiency of the strategies is evaluated through simulations.
LA  - English
DB  - MTMT
ER  - 

TY  - CHAP
AU  - Vincze, Zoltán
AU  - Vass, Dorottya
AU  - Vida, Rolland
AU  - Vidács, Attila
AU  - Telcs, András
ED  - ACM, .
TI  - Adaptive sink mobility in event-driven multi-hop wireless sensor networks
T2  - InterSense '06: Proceedings of the First International Conference on Integrated Internet Ad hoc and Sensor Networks
PB  - ACM Press
CY  - New York, New York
SN  - 9781595934277
T3  - ACM International Conference Proceedings Series (ICPS) ; 138.
PY  - 2006
PG  - 10
DO  - 10.1145/1142680.1142697
UR  - https://m2.mtmt.hu/api/publication/2618975
ID  - 2618975
AB  - Optimizing energy consumption in wireless sensor
networks is of paramount importance. There is a recent trend to
deal with this problem by introducing mobile elements (sensors
or sink nodes) in the network. The majority of these approaches
assume time-driven scenarios and/or single-hop communication
between participating nodes. However, there are several real-life applications for which an event-based and multi-hop operation
is more appropriate. In this paper we propose to adaptively
move the sink node inside the covered region, according to
the evolution of current events, so as to minimize the energy
consumption incurred by the multi-hop transmission of the eventrelated data. Both analytical and simulation results are given
for two optimization strategies: minimizing the overall energy
consumption, and minimizing the maximum load on a specific
sensor respectively. We show that by adaptively moving the sink,significant power saving can be achieved, prolonging the lifetime of the network.
LA  - English
DB  - MTMT
ER  -