Efficient QoS provisioning at the MAC layer in heterogeneous wireless sensor networks

Souil, Marion; Bouabdallah, Abdelmadjid; Kamal, Ahmed E.

doi:10.1016/j.comcom.2014.02.003

Cited by 19 publications

(12 citation statements)

References 17 publications

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“…It uses a service differentiation mechanism based on a spatial correlativity model of nodes and on the perceived data by the nodes in order to select nodes close to the information and prioritize their high quality data in the access channel. The authors in [ 9 ] proposed an adaptive QoS-aware MAC protocol for WSNs with heterogeneous traffic. This protocol uses a hybrid channel access method by combining the strength of both contention-based and contention-free MAC protocols.…”

Section: From Optimal To Adaptive and Viable Management Of Wsnmentioning

confidence: 99%

Adaptive management of energy consumption, reliability and delay of wireless sensor node: Application to IEEE 802.15.4 wireless sensor node

Kone¹,

Mathias

Sousa³

2017

PLoS ONE

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Designing a Wireless Sensor Network (WSN) to achieve a high Quality of Service (QoS) (network performance and durability) is a challenging problem. We address it by focusing on the performance of the 802.15.4 communication protocol because the IEEE 802.15.4 Standard is actually considered as one of the reference technologies in WSNs. In this paper, we propose to control the sustainable use of resources (i.e., energy consumption, reliability and timely packet transmission) of a wireless sensor node equipped with photovoltaic cells by an adaptive tuning not only of the MAC (Medium Access Control) parameters but also of the sampling frequency of the node. To do this, we use one of the existing control approaches, namely the viability theory, which aims to preserve the functions and the controls of a dynamic system in a set of desirable states. So, an analytical model, describing the evolution over time of nodal resources, is derived and used by a viability algorithm for the adaptive tuning of the IEEE 802.15.4 MAC protocol. The simulation analysis shows that our solution allows ensuring indefinitely, in the absence of hardware failure, the operations (lifetime duration, reliability and timely packet transmission) of an 802.15.4 WSN and one can temporarily increase the sampling frequency of the node beyond the regular sampling one. This latter brings advantages for agricultural and environmental applications such as precision agriculture, flood or fire prevention. Main results show that our current approach enable to send more information when critical events occur without the node runs out of energy. Finally, we argue that our approach is generic and can be applied to other types of WSN.

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Section: From Optimal To Adaptive and Viable Management Of Wsnmentioning

confidence: 99%

Adaptive management of energy consumption, reliability and delay of wireless sensor node: Application to IEEE 802.15.4 wireless sensor node

Kone¹,

Mathias

Sousa³

2017

PLoS ONE

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“…Such is the case of the queuing model for the IEEE 802.11, presented in (Tickoo and Sikdar, 2008). In addition, most of the existing methods for obtaining the probability distribution of report latency in WSNs are protocol specific; e.g., (Souil et al, 2014;Siddiqui and Ghani, 2013). More specifically, a QoS evaluation of the AMPH protocol is conducted in (Souil et al, 2014), but despite the in-depth analysis, the selected network topology and protocol compromise the adaptability of the developed method.…”

Section: Related Workmentioning

confidence: 99%

“…In (Siddiqui and Ghani, 2013), authors obtain the probability distribution of a successful and failed transmission by means of a Markov Chain. Note that in both (Souil et al, 2014;Siddiqui and Ghani, 2013), delay is calculated as the time required for the first successful transmission to occur, whereas the transmission of a minimum number of packets may be necessary for the accurate characterization of the occurring event. In (Wang et al, 2011), authors do consider the need for the transmission of a minimum number of event packets during event reporting and propose a spatio-temporal fluid model, along with a simplified model to obtain the distribution of report delay in multihop WSNs.…”

Section: Related Workmentioning

confidence: 99%

A hybrid method for the QoS analysis and parameter optimization in time-critical random access wireless sensor networks

Leyva-Mayorga

Pla

Martínez-Bauset

et al. 2017

Journal of Network and Computer Applications

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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. In certain applications such as target tracking and positioning, the transmission of a certain number of event packets is required to accurately characterize the occurring phenomena. Building on this, we present a hybrid method for obtaining the probability distribution of report latency in random access (RA) WSN protocols. In this method, the distribution of the number of detecting nodes is obtained by simulation, which then allows us to obtain the desired QoS parameters analytically. In this study, we use our method to obtain and optimize the event report latency and energy consumption in RA WSNs. Results show that modifying the transmission parameters during backoff increases the robustness of RA event reporting and also enhances the performance of the WSN in environments where multiple types of events can be detected.

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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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Efficient QoS provisioning at the MAC layer in heterogeneous wireless sensor networks

Cited by 19 publications

References 17 publications

Adaptive management of energy consumption, reliability and delay of wireless sensor node: Application to IEEE 802.15.4 wireless sensor node

Adaptive management of energy consumption, reliability and delay of wireless sensor node: Application to IEEE 802.15.4 wireless sensor node

A hybrid method for the QoS analysis and parameter optimization in time-critical random access wireless sensor networks

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

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