2007 Fourth International Conference on Networked Sensing Systems 2007
DOI: 10.1109/inss.2007.4297382
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QoD Adaptation for Achieving Lifetime Predictability of WSN Nodes Communicating over Satellite Links

Abstract: Abstract-In this paper we propose an architecture consisting of a particular type of node, namely a communication server that collects and aggregates data, and establishes a link between the users and the sensor nodes through satellite communication. A key challenge with satisfying a lifetime requirement of the communication server is the unpredictability of the sensor data volume arriving at the communication server and the transmission power of the satellite terminal. To provide lifetime predictability we pr… Show more

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Cited by 5 publications
(5 citation statements)
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References 29 publications
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“…This proposed server design is used to gather sensor data. These researchers also presented a dynamic mechanism that adapts to collected data quality [39]. Poulakis et al proposed a monitoring application where a Collaborative Beamforming (CB) mechanism is deployed in the WSN/satellite system without the need for a gateway.…”
Section: Related Workmentioning
confidence: 99%
“…This proposed server design is used to gather sensor data. These researchers also presented a dynamic mechanism that adapts to collected data quality [39]. Poulakis et al proposed a monitoring application where a Collaborative Beamforming (CB) mechanism is deployed in the WSN/satellite system without the need for a gateway.…”
Section: Related Workmentioning
confidence: 99%
“…Hundred sensor nodes sensed data at a random sensing interval between 100 ms to 1,000 ms and transferred the data to the sink node with a packet containing 10 data samples. We selected three performance matrixes: efficiency, fairness, QoD (quality of data), and energy [ 7 , 13 ].…”
Section: Performancementioning
confidence: 99%
“…For instance, Amirijoo et al defined the sensory data quality as the length of the sample interval in continuous data collection [3]. The authors proposed mechanisms to lengthen the WSN lifetime by dynamically adjusting the sampling period.…”
Section: Related Workmentioning
confidence: 99%