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TMC
2010
135views more  TMC 2010»
15 years 4 months ago
Maximizing the Lifetime of Wireless Sensor Networks with Mobile Sink in Delay-Tolerant Applications
—This paper proposes a framework to maximize the lifetime the wireless sensor network (WSN) by using a mobile sink when the underlying applications tolerate delayed information d...
YoungSang Yun, Ye Xia
CORR
2010
Springer
163views Education» more  CORR 2010»
15 years 4 months ago
Faster Rates for training Max-Margin Markov Networks
Structured output prediction is an important machine learning problem both in theory and practice, and the max-margin Markov network (M3 N) is an effective approach. All state-of-...
Xinhua Zhang, Ankan Saha, S. V. N. Vishwanathan
EDBT
2010
ACM
135views Database» more  EDBT 2010»
15 years 4 months ago
Querying spatial patterns
Spatial data are common in many scientific and commercial domains such as geographical information systems and gene/protein expression profiles. Querying for distribution patterns...
Vishwakarma Singh, Arnab Bhattacharya, Ambuj K. Si...
GLOBECOM
2010
IEEE
15 years 4 months ago
Maximization of Data Gathering in Clustered Wireless Sensor Networks
In this paper, we investigate the maximization of the amount of gathered data in a clustered wireless sensor network (WSN). The amount of gathered data is maximized by (1) choosing...
Tianqi Wang, Wendi Rabiner Heinzelman, Alireza Sey...
GLOBECOM
2010
IEEE
15 years 4 months ago
Prolonging Network Lifetime via a Controlled Mobile Sink in Wireless Sensor Networks
In this paper we explore the mobility of a mobile sink in a wireless sensor network (WSN) to prolong the network lifetime. Since the mechanical movement of mobile sink is driven by...
Weifa Liang, Jun Luo, Xu Xu