Implementation of a MAC protocol for QoS support in wireless sensor networks

Suriyachai, Petcharat; Roedig, Utz; Scott, Andrew C.

doi:10.1109/percom.2009.4912839

Cited by 35 publications

(23 citation statements)

References 5 publications

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“…Many QoS-aware MAC protocols for WSNs address how to satisfy QoS requirements and ensure efficient resource usage at network overload [6][7][8]. They require however changes to off-the-shelf MAC hardware, software of both.…”

Section: Related Workmentioning

confidence: 99%

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Proportional throughput differentiationwith cognitive load-control on WSN channels

Bodin

Wolosz

2015

J Wireless Com Network

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Wireless sensor networks are nowadays used in various applications to facilitate monitoring and actuation tasks, e.g., for smart grids and industrial automation. Some of these applications require guarantees or at least assurances on reliability. Such applications expect predictable throughput and delay, which are hard to maintain in environments with changing radio conditions. QoS-aware MAC protocols capable of handling such environments are well explored. They require however protocol changes and are therefore difficult to deploy. This paper presents an application layer forwarding service that offers proportional differentiation while limiting network load to preserve high utilization and predictability. Demands for capacity are expressed as fractions of the overall channel throughput. We show that this service can be implemented with a cognitive load controller (CLC) based on fuzzy logic and quality assessed with utility functions for application layer packet loss and throughput. We evaluate the CLC for 802.15.4 with CSMA/CA through NS-3 simulations showing that it offers the intended service while adjusting load for high overall throughput and low delay.

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Section: Related Workmentioning

confidence: 99%

“…The need for transmission predictability in WSNs has driven research on QoS-aware MAC protocols capable of supporting predictable transmission rate in environments with changing radio conditions and moving object impacting on transmission quality [6][7][8]. The IEEE is working on standardizing the 802.…”

Section: Introductionmentioning

confidence: 99%

Proportional throughput differentiationwith cognitive load-control on WSN channels

Bodin

Wolosz

2015

J Wireless Com Network

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“…As already mentioned, a preliminary simulation study of the SNC accuracy was performed in [14]. The SNC-MAC detailed in this paper is based on our deterministic MAC protocol described in [23]. In this paper, we extend and tailor the functionality of this protocol such that it meets the SNC dimensioning requirements.…”

Section: Related Workmentioning

confidence: 99%

“…For example, the usage of TinyOS tasks within the MAC component must be avoided as TinyOS cannot guarantee when tasks are executed. Additional details of TinyOS implementation of the protocol are available in [23].…”

Section: ) Implementationmentioning

confidence: 99%

Dimensioning of Time-Critical WSNs -- Theory, Implementation and Evaluation

Suriyachai¹,

Roedig²,

Scott³

et al. 2011

JCM

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Abstract-It is difficult to design and operate a Wireless Sensor Network (WSN) that ensures timely data delivery. Hence, few time-critical WSNs are nowadays in operation despite numerous application scenarios that would benefit from such a system. This paper presents a novel dimensioning framework that can be used to efficiently construct WSNs for time-critical applications. The framework employs the Sensor Network Calculus (SNC) as an analytical method for network dimensioning. A medium access control (MAC) protocol called SNC-MAC is used to ensure that this dimensioning process is reflected accurately in a subsequent deployment. The proposed framework is evaluated using both simulations and measurements in an experimental WSN deployment. The evaluation shows that observed message transfer delays in the deployment never exceed delay bounds determined during network dimensioning. Therefore, the framework can be used to implement WSNs requiring transmission delay guarantees.

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“…Literature [6] presented a QoS-aware MAC protocol based on scheduling, which can bound latency and reliability of data. However, it is easy to cause synchronization errors accumulation due to each node synchronizes its clock with its parent node, thus it does not scale well for large WSN.…”

Section: Introductionmentioning

confidence: 99%

Untitled

2017

IJCSI

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Considering traditional MAC protocols for Wireless Sensor Networks cannot provide service differentiation for different traffic classes, we propose a Self-adaption QoS-aware MAC protocol (SQ-MAC). The protocol can provide collision-free time slots for nodes, and take different contention window size for different traffic classes. It can also introduce virtual multiqueue and relatively fair scheduling mechanism for data packets. Simulation results show that, compared with the low priority traffic, the transmission quality of high priority traffic is effectively improved, in terms of packet delivery ratio, latency and so on. Additionally, compared with S-MAC and DQ-MAC, SQ-MAC also maintains a good network performance.

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Implementation of a MAC protocol for QoS support in wireless sensor networks

Cited by 35 publications

References 5 publications

Proportional throughput differentiationwith cognitive load-control on WSN channels

Proportional throughput differentiationwith cognitive load-control on WSN channels

Dimensioning of Time-Critical WSNs -- Theory, Implementation and Evaluation

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