Abstract
Air pollution monitoring systems attract much attention recently due to the increasingly serious health problems caused by the pollutants in the air. In this paper, an Information-Centric Multihop Cellular network for Air pollution Monitoring (IC-MCAM) is introduced for efficient collection of the sensing data. Furthermore, we propose a dynamic radio resource management scheme, by which the physical resource blocks (PRBs) are allocated to the wireless links to minimize the long-term overall energy consumption, taking into account the packet priority, size, delays as well as the wireless channel state. The resource management optimization problem is formulated as a restless bandits model with constraints, which is further reformulated as a restless bandits model for efficient solutions. Extensive simulation results are also presented to demonstrate the significant performance improvement of the proposed scheme.
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Acknowledgment
This work was jointly supported by the National Natural Science Foundation of China under Grant 61372089 and 61201198, and the Beijing Natural Science Foundation under Grant 4132007. The work of Y. Fang was partially supported by US National Science Foundation under grant CNS-1409797 and CNS-1423165.
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Si, P., Li, Q., Zhang, Y., Fang, Y. (2015). Information-Centric Resource Management for Air Pollution Monitoring with Multihop Cellular Network Architecture. In: Xu, K., Zhu, H. (eds) Wireless Algorithms, Systems, and Applications. WASA 2015. Lecture Notes in Computer Science(), vol 9204. Springer, Cham. https://doi.org/10.1007/978-3-319-21837-3_45
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DOI: https://doi.org/10.1007/978-3-319-21837-3_45
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