Abstract
Considering the issue of low latency and link robustness in the radar sensor networks, a global routing algorithm based on physical depth is proposed in this paper. We introduce the concept of physical depth, which is defined as the minimum possible hop counts from the current node to the sink or the cluster head, to indicate the distance between them. And a maintenance mechanism of the parameter is designed. On that basis, the routing optimization is proposed. To reduce the routing overhead, we integrate the routing discovery with the first time data transmission. Since, it is a global algorithm and featured by the shortest path and low latency, it could be used to transmit the abnormal data which are highly important in the radar sensor networks. The simulation results showed that the proposed algorithm could effectively reduce the hop counts in the transmission, and it achieved a lower latency. The robustness was also improved; our algorithm had higher packet delivery ratios when different numbers of nodes were disabled in the networks.
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Acknowledgments
This work is funded by the National Science Foundation of China, (NSFC: 61401310), the Project of Tianjin University Technology Development Fund (20130714), and the Doctoral Scientific Foundation of Tianjin Normal University (52XB1106).
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Mu, J., Han, L. (2016). A Global Routing Algorithm Based on Physical Depth for Abnormal Data in Radar Sensor Networks. In: Liang, Q., Mu, J., Wang, W., Zhang, B. (eds) Proceedings of the 2015 International Conference on Communications, Signal Processing, and Systems. Lecture Notes in Electrical Engineering, vol 386. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-49831-6_24
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DOI: https://doi.org/10.1007/978-3-662-49831-6_24
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