Modified Gur Game for WSNs QoS control

Elshahed, Eman M.; Ramadan, Rabie A.; Al-Tabbakh, Shahinaz M.; El-Zahed, H.

doi:10.1016/j.procs.2014.05.549

Cited by 8 publications

(4 citation statements)

References 6 publications

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“…Many recent studies have focused on energy efficiency, packet loss rate (PLR), and channel utilization efficiency. [9][10][11] However, the critical factor of transmission delay in smart grid WMSNs has not been fully considered in these papers. Chen 12 proposed a self-stabilizing hop-constrained energy-efficient (SHE) protocol for constructing minimum-energy networks for hard real-time routing; the transmission delay in a WSN was quantified, and the delay requirement was met, but this system does not provide a means of prioritizing messages and thus cannot satisfy the needs of smart grid WMSNs.…”

Section: Introductionmentioning

confidence: 99%

A quality of service–aware preemptive tidal flow queuing model for wireless multimedia sensor networks in the smart grid environment

Muqing

Zhao

et al. 2017

International Journal of Distributed Sensor Networks

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The smart grid incorporates a two-way communication system between customers and the utility for advanced monitoring and intelligent control of supply and demand. Wireless multimedia sensor network can be treated as an organic supplement and a peripheral network in this two-way communication system. However, the challenging smart grid environment makes it difficult to achieve a high quality of service in wireless multimedia sensor network. This article proposes a prioritization mechanism that considers the heterogeneous characteristics of smart grid traffic. Specifically, an innovative channel allocation and traffic scheduling scheme, named the preemptive tidal flow queuing model, is presented. This scheme achieves differentiated services for diverse communication data when the wireless multimedia sensor network accesses the core network and ensures the performance for high-priority data at the expense of the performance for low-priority data. Simulation analyses show that the performance for high-priority messages can be reliably guaranteed and that the preemptive tidal flow queuing model satisfies the requirements for a wireless multimedia sensor network operating in the smart grid environment. This article offers three main contributions: the development of a prioritization mechanism specifically for a wireless multimedia sensor network in the smart grid environment, the proposal of the preemptive tidal flow queuing model, and the presentation of formulas and simulations to verify the performance of the preemptive tidal flow queuing model.

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Section: Introductionmentioning

confidence: 99%

A quality of service–aware preemptive tidal flow queuing model for wireless multimedia sensor networks in the smart grid environment

Muqing

Zhao

et al. 2017

International Journal of Distributed Sensor Networks

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“…However, the original Goore Game approach in [12] is not power-aware, and once the WSN reaches the optimum number of active sensor nodes in the system, those active sensor nodes will remain active for every subsequent epoch until their battery power is depleted or the QoS requirement (optimum number of active nodes) is changed. To solve this problem, several improved approaches are presented with the same assumption above [13,14,15,16,17]. Network life is concerned and the definition of network life is provided in [13].…”

Section: Introductionmentioning

confidence: 99%

“…However, the drawbacks are also obvious, when the desired QoS changes with time or sensor nodes deplete, the algorithm appears to be less attractive, and it leads to the imbalance consumption of system energy further. Adaptive Periodic Goore Game is proposed in [17], the Goore Game is reapplied periodically to alleviate the unbalance of energy consumption, and also the idea of unambiguous reward/punishment is borrowed from [15] to accelerate the convergence. But the periodic restart of the game will lead to a periodical instable performance.…”

Section: Introductionmentioning

confidence: 99%

Estimator Goore Game based quality of service control with incomplete information for wireless sensor networks

Liang

et al. 2016

Signal Processing

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“…Energy cost finds the best route to destination as regards energy conservation. Network life time is the total working time of WSN until it becomes unable to satisfy user's needs [7][8][9][10][11][12]. To face these challenges, a powerful management system for WSN should be constructed provided that this system considers the critical parameters such as WSN node power degree, WSN bandwidth, and WSN instrumentations.…”

Section: Introductionmentioning

confidence: 99%

Performance evaluation of WSN management system for QoS guarantee

Said

2015

J Wireless Com Network

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As the wireless sensor networks (WSNs) continue to evolve, it becomes more and more important. Furthermore, no one can deny that quality of services (QoS) is still one of the most important areas in this domain. In this paper, a system for guaranteeing WSN QoS is proposed. The idea of this system is to use the previous individual solutions such as clustering, data prioritization, and data classification in addition to efficient techniques for network management. Simulation of this system is achieved using the network simulation package (NS2). Simulation results are given to demonstrate the effectiveness of the proposed system in terms of throughput, latency, lost packets, and sensor power consumption.

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Modified Gur Game for WSNs QoS control

Cited by 8 publications

References 6 publications

A quality of service–aware preemptive tidal flow queuing model for wireless multimedia sensor networks in the smart grid environment

A quality of service–aware preemptive tidal flow queuing model for wireless multimedia sensor networks in the smart grid environment

Estimator Goore Game based quality of service control with incomplete information for wireless sensor networks

Performance evaluation of WSN management system for QoS guarantee

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