2017
DOI: 10.1016/j.jnca.2017.01.027
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A hybrid method for the QoS analysis and parameter optimization in time-critical random access wireless sensor networks

Abstract: Evolution in electronics has led to the development of complex applications in wireless sensor networks (WSNs), where efficient and swift event reporting is needed. In time-critical applications, achieving an adequate report latency is particularly relevant as it allows a proper reaction from the network to the occurring phenomena. It is evident that mean report latency is insufficient as a QoS indicator for time-critical applications. Instead, high percentiles or the whole distribution are much better suited.… Show more

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Cited by 5 publications
(7 citation statements)
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“…For the energy-harvesting technique [ 4 ], research challenges on topologies and the energy management system [ 6 , 13 ], and the proposed system optimization, would increase the system reliability and scalability. Our discussion stresses the classification of coverage [ 5 , 6 , 7 , 8 ], practical challenges in the deployment of WSNs [ 8 , 9 , 10 ], QoS support [ 15 , 16 , 17 ], sensing models, and research issues in WSNs [ 11 , 12 ].…”
Section: Discussionmentioning
confidence: 99%
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“…For the energy-harvesting technique [ 4 ], research challenges on topologies and the energy management system [ 6 , 13 ], and the proposed system optimization, would increase the system reliability and scalability. Our discussion stresses the classification of coverage [ 5 , 6 , 7 , 8 ], practical challenges in the deployment of WSNs [ 8 , 9 , 10 ], QoS support [ 15 , 16 , 17 ], sensing models, and research issues in WSNs [ 11 , 12 ].…”
Section: Discussionmentioning
confidence: 99%
“…A hybrid method for obtaining the probability distribution of report latency in random access (RA) WSN protocols [ 17 ] is studied and it is beneficial for assessing the QoS of WSNs in time-critical applications. In this manner, event reporting is time-constrained and fault-sensitive.…”
Section: Related Workmentioning
confidence: 99%
“…Please observe that (5.25) and (5.26) are different to the equations presented in our previous work [62]. The reason for this is that the formulas presented in this chapter are much more computationally efficient than those used in prior work.…”
Section: Obtaining the Qos Parametersmentioning
confidence: 80%
“…The main contributions of this chapter were published in [62], while a preliminary version was published in [63].…”
Section: Discussionmentioning
confidence: 99%
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