2018
DOI: 10.1109/jsyst.2017.2751645
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An Efficient Minimum-Latency Collision-Free Scheduling Algorithm for Data Aggregation in Wireless Sensor Networks

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Cited by 86 publications
(43 citation statements)
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“…Ngoc et al [36] have proposed an efficient minimum latency scheduling algorithm for WSN. Here, Independent Set based Scheduling (ISS) algorithm is used.…”
Section: Related Workmentioning
confidence: 99%
“…Ngoc et al [36] have proposed an efficient minimum latency scheduling algorithm for WSN. Here, Independent Set based Scheduling (ISS) algorithm is used.…”
Section: Related Workmentioning
confidence: 99%
“…Many research works have studied to improve the efficiency of data collection for both the centralized WSNs [3], [2] and distributed WSNs [4], [5]. In [6], the authors proposed a chain-based protocol, named PEGASIS to reduce the energy consumption of sensors during data collection process.…”
Section: Related Workmentioning
confidence: 99%
“…It is clear that when the total number of channels ς = 1, the MLCAMDAS-MC problem is equivalent to the MLCAMDAS problem, which implies that the MLCAMDAS problem is a subproblem of the MLCAMDAS-MC problem. Because the MLCAMDAS problem is NP-hard [2], and therefore, the MLCAMDAS-MC problem is also NP-hard. This thus completes the proof.…”
Section: Instance: Given a Graphmentioning
confidence: 99%
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“…Additionally, application-driven industrial communication increases the requirements of stringent reliability as well as time efficiency [5]. Within process automation, standards such as WirelessHART, ISA100.11a, and IEEE (Institute of Electrical and Electronics Engineers) 802.15.4e have been operational for nearly a decade, and there exists several researches that address support for emerging applications, such as data aggregation [6], control, and safety [7,8]. All of the above standards employ the Times-Slotted Channel Hopping (TSCH) Medium Access Control (MAC) protocol instead of pure contention-based MAC protocol Carrier-Sense Multiple Access with Collision Avoidance (CSMA/CA).…”
Section: Introductionmentioning
confidence: 99%