L. Bölöni and D. Turgut. Should I send now or send later? A decision-theoretic approach to transmission scheduling in sensor networks with mobile sinks. Wireless Communications and Mobile Computing Journal (WCMC), 8(3):385–403, 2008.
Mobile sinks can significantly extend the lifetime of a sensor network by eliminating the need for expensive hop-by-hop routing. However, a sensor node might not always have a mobile sink in transmission range, or the mobile sink might be so far that the data transmission would be very expensive. In the latter case, the sensor node needs to make a decision whether it should send the data now, or take the risk to wait for a more favorable occasion. Making the right decisions in this \em transmission scheduling problem has significant impact on the performance and lifetime of the node. In this paper we investigate the fundamentals of the transmission scheduling problem for sensor networks with mobile sinks. We develop a dynamic programming based optimal algorithm for the case when the mobility of the sinks is known in advance. We develop two algorithms based on a decision theoretic approach. The first algorithm uses Markov Decision Processes with states without history information, the second algorithm encodes some elements of the history into the state. Through a series of experiments, we show that the decision theoretic approaches significantly outperform naive heuristics, and can have a performance close to that of the optimal approach, without requiring an advance knowledge of the mobility.
@article{Boloni-2008-WCMC,
author = "L. B{\"o}l{\"o}ni and D. Turgut",
title = "Should {I} send now or send later? {A} decision-theoretic approach to transmission scheduling in sensor networks with mobile sinks",
journal = "Wireless Communications and Mobile Computing Journal (WCMC)",
year = "2008",
volume = "8",
number = "3",
pages = "385-403",
abstract = {
Mobile sinks can significantly extend the lifetime of a sensor network by
eliminating the need for expensive hop-by-hop routing. However, a sensor
node might not always have a mobile sink in transmission range, or the
mobile sink might be so far that the data transmission would be very
expensive. In the latter case, the sensor node needs to make a decision
whether it should send the data now, or take the risk to wait for a more
favorable occasion. Making the right decisions in this {\em transmission
scheduling problem} has significant impact on the performance and lifetime
of the node.
In this paper we investigate the fundamentals of the transmission
scheduling problem for sensor networks with mobile sinks. We develop a
dynamic programming based optimal algorithm for the case when the mobility
of the sinks is known in advance. We develop two algorithms based on a
decision theoretic approach. The first algorithm uses Markov Decision
Processes with states without history information, the second algorithm
encodes some elements of the history into the state. Through a series of
experiments, we show that the decision theoretic approaches significantly
outperform naive heuristics, and can have a performance close to that of
the optimal approach, without requiring an advance knowledge of the
mobility.
},
}
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