D. Turgut and L. Bölöni. Three heuristics for transmission scheduling in sensor networks with multiple mobile sinks. In Proceedings of International Workshop on Agent Technology for Sensor Networks (ATSN-08), in conjunction with the Seventh Joint Conference on Autonomous and Multi-Agent Systems (AAMAS 2008) , pp. 1–8, May 2008.
A large part of the energy budget of traditional sensor networks is consumed by the hop-by-hop routing of the collected information to the static sink. In many applications it is possible to replace the static sink with one or more mobile sinks which move in a sensor field and collect the data through one hop transmissions. This greatly reduces the power consumption of the nodes, which can be further reduced by the choosing the appropriate moment of transmission. In general, the transmission energy increases quickly with the distance, thus it makes sense for the nodes to transmit when one of the mobile sinks is in close proximity. One of the side effects of the one-hop transmission is that the node is responsible only for its own data and its own energy resources. Thus, it makes good sense to treat the sensor node as an autonomous agent which maximizes the utility of the collected and transmitted data, while minimizing the energy expenditure. This paper proposes several approaches for such an agent controlled sensor node. As the basis of comparison, we describe a dynamic programming-based approach for the optimal policy in the context of full world knowledge. Then, we describe and compare three heuristics based on different principles (imitation of human decision making, stochastic transmission and constant risk). We compare the proposed approaches in an experimental study.
@inproceedings{Turgut-2008-ATSN,
author = "D. Turgut and L. B{\"o}l{\"o}ni",
title = "Three heuristics for transmission scheduling in sensor networks
with multiple mobile sinks",
booktitle = "Proceedings of International Workshop on Agent Technology for
Sensor Networks (ATSN-08), in conjunction with the Seventh Joint Conference
on Autonomous and Multi-Agent Systems (AAMAS 2008) ",
pages = "1-8",
month = "May",
year = "2008",
abstract = {
A large part of the energy budget of traditional sensor networks is
consumed by the hop-by-hop routing of the collected information to the
static sink. In many applications it is possible to replace the static
sink with one or more mobile sinks which move in a sensor field and
collect the data through one hop transmissions. This greatly reduces the
power consumption of the nodes, which can be further reduced by the
choosing the appropriate moment of transmission. In general, the
transmission energy increases quickly with the distance, thus it makes
sense for the nodes to transmit when one of the mobile sinks is in close
proximity.
One of the side effects of the one-hop transmission is that the node is
responsible only for its own data and its own energy resources. Thus, it
makes good sense to treat the sensor node as an autonomous agent which
maximizes the utility of the collected and transmitted data, while
minimizing the energy expenditure.
This paper proposes several approaches for such an agent controlled
sensor node. As the basis of comparison, we describe a dynamic
programming-based approach for the optimal policy in the context of full
world knowledge. Then, we describe and compare three heuristics based on
different principles (imitation of human decision making, stochastic
transmission and constant risk). We compare the proposed approaches in an
experimental study.
},
}
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