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Sensors 2017, 17(2), 395; doi:10.3390/s17020395

A Delay-Aware and Reliable Data Aggregation for Cyber-Physical Sensing

School of Information Science and Engineering, Central South University, Changsha 410083, China
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Academic Editors: Mianxiong Dong, Zhi Liu, Anfeng Liu and Didier El Baz
Received: 10 January 2017 / Revised: 14 February 2017 / Accepted: 15 February 2017 / Published: 17 February 2017
(This article belongs to the Special Issue New Paradigms in Cyber-Physical Social Sensing)
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Abstract

Physical information sensed by various sensors in a cyber-physical system should be collected for further operation. In many applications, data aggregation should take reliability and delay into consideration. To address these problems, a novel Tiered Structure Routing-based Delay-Aware and Reliable Data Aggregation scheme named TSR-DARDA for spherical physical objects is proposed. By dividing the spherical network constructed by dispersed sensor nodes into circular tiers with specifically designed widths and cells, TSTR-DARDA tries to enable as many nodes as possible to transmit data simultaneously. In order to ensure transmission reliability, lost packets are retransmitted. Moreover, to minimize the latency while maintaining reliability for data collection, in-network aggregation and broadcast techniques are adopted to deal with the transmission between data collecting nodes in the outer layer and their parent data collecting nodes in the inner layer. Thus, the optimization problem is transformed to minimize the delay under reliability constraints by controlling the system parameters. To demonstrate the effectiveness of the proposed scheme, we have conducted extensive theoretical analysis and comparisons to evaluate the performance of TSR-DARDA. The analysis and simulations show that TSR-DARDA leads to lower delay with reliability satisfaction. View Full-Text
Keywords: physical sensing; reliability; delay; tiered structure routing physical sensing; reliability; delay; tiered structure routing
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Zhang, J.; Long, J.; Zhang, C.; Zhao, G. A Delay-Aware and Reliable Data Aggregation for Cyber-Physical Sensing. Sensors 2017, 17, 395.

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