Non-Stationary Resource Allocation Policies for Delay-Constrained Video Streaming: Application to Video over Internet-of-Things-Enabled Networks

Xu, Jie; Andrepoulos, Yiannis; Xiao, Yuanzhang; Schaar, Mihaela van der

doi:10.1109/jsac.2014.140410

Cited by 49 publications

(22 citation statements)

References 23 publications

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“…The presented work, which is an amendment to previous work for the authors in [9], shows how the TASA could be incorporated into the IoT stack. XU et al [26] introduce a delay-aware resource allocation (DARA) model which carry out a resource allocation service for multi-camera TSCH networks. The concept of resources in the TSCH network is interpreted in terms of links.…”

Section: Nodes Mobility Tsch and Related Workmentioning

confidence: 99%

Mobility Aware Framework for Timeslotted Channel Hopping IEEE 802.15.4e Sensor Networks

Al-Nidawi

Kemp

2015

IEEE Sensors J.

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Abstract-Ubiquitous object networking has sparked the concept of the Internet of Things (IoT) which defines a new era in the world of networking. Realization of this concept needs to be addressed by standardization efforts that will shape the infrastructure of the networks. This has been achieved through the IEEE 802.15.4e, 6LoWPAN and IPv6 standards that formalize the communication pattern between different types of devices within the IoT world. In addition, the IEEE 802.15.4 standard, which can be considered as the backbone of the IoT structure, has presented the timeslotted channel hopping (TSCH) that can achieve a high reliability through time and frequency diversity. Although the aforementioned standards provide a coherent and diffused system that achieves the concept of smart world, several implications tackle these standards to achieve an optimized performance and reliability. Node mobility can be considered as the delimited factor for realizing a fully connected network, especially with the inclusion of TSCH mode that will complicate the association process of the mobile nodes, this caused by the frequency hopping mechanism. In this paper, we investigate the mobility impact over the TSCH sensor network whereas a Markov chain model is presented to determine the parameters that affect mobile node association process. Secondly, we provide a proposed mobility-aware MTSCH management protocol that will facilitate the mobile nodes association and minimize the latency incurred by leaving the nodes dissociated from the network. TSCH and the proposed MTSCH techniques have been implemented and evaluated within Contiki OS. The proposed MTSCH manages to reduce the radio duty cycle (RDC) of the mobile nodes by an average of 30% while increasing the connectivity of the nodes by 25%. Moreover, cluster heads (CHs) managed to save energy by a ratio of 14%.Index Terms-IEEE 802.15.4e, TSCH, mobility, Markov chain, Contiki OS.

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Section: Nodes Mobility Tsch and Related Workmentioning

confidence: 99%

Mobility Aware Framework for Timeslotted Channel Hopping IEEE 802.15.4e Sensor Networks

Al-Nidawi

Kemp

2015

IEEE Sensors J.

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“…(3) cheme for queue n (4) ditional probability (5) Some of the packets will be dropped from each service class if the corresponding buffer is full.…”

Section: The Probabilistic Prediction Based Joint Packet Scheduling Amentioning

confidence: 99%

Probabilistic Prediction based Scheduling for Delay Sensitive Traffic in Internet of Things

Sharma

Kumar

Gowda

et al. 2015

Procedia Computer Science

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This paper proposes a probabilistic prediction based approach for providing Quality of Service (QoS) to delay sensitive traffic for Internet of Things (IoT). A joint packet scheduling and dynamic bandwidth allocation scheme is proposed to provide service differentiation and preferential treatment to delay sensitive traffic. The scheduler focuses on reducing the waiting time of high priority delay sensitive services in the queue and simultaneously keeping the waiting time of other services within tolerable limits. The scheme uses the difference in probability of average queue length of high priority packets at previous cycle and current cycle to determine the probability of average weight required in the current cycle. This offers optimized bandwidth allocation to all the services by avoiding distribution of excess resources for high priority services and yet guaranteeing the services for it. The performance of the algorithm is investigated using MPEG-4 traffic traces under different system loading. The results show the improved performance with respect to waiting time for scheduling high priority packets and simultaneously keeping tolerable limits for waiting time and packet loss for other services.

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“…One of them is focused on adaptation of IoT technologies to the requirements imposed by multimedia streaming, for example by modifying MAC layer ( [35,44]) or transport layer ( [16]) of IEEE 802.15.4 networks for proper handling of the traffic generated by delaysensitive streaming applications. On the other hand, research community investigates approaches that consider the utilizing existing solutions for multimedia services within IoT domain.…”

Section: Introductionmentioning

confidence: 99%

DASCo: dynamic adaptive streaming over CoAP

Krawiec

Sosnowski

Batalla

et al. 2017

Multimed Tools Appl

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This paper presents the Dynamic Adaptive Streaming over CoAP (DASCo), a solution for adaptive media streaming in the Internet of Things (IoT) environment. DASCo combines DASH (Dynamic Adaptive Streaming over HTTP), the widespread open standard for HTTP-compliant streaming, with Constrained Application Protocol (CoAP), the vendorindependent web transfer protocol designed for resource-constrained devices. The proposed solution uses DASH formats and mechanisms to make media segments available for consumers, and exploits CoAP to deliver media segments to consumers' applications. Consequently, the DASCo player offers native interoperability with IoT devices that are accessed via CoAP, thus it allows easy access to data collected by different sensors in order to enrich the multimedia services. In the paper we present an overview of constraints of default CoAP implementation with respect to media streaming, and propose guidelines for development of adaptive streaming service over CoAP. Moreover, we discuss the features of CoAP that can be investigated when designing an efficient adaptive algorithm for DASCo. Presented experimental results show poor performance of DASCo when default values of CoAP transmission parameters have been used. However, adjusting the parameters according to the network conditions considerably improves DASCo efficiency. Furthermore, in bad network conditions the enhanced DASCo is characterized by a more stable download rate compared to DASH. This feature is important in the context of dynamic media adaptation, since it allows an adaptation algorithm to better fit media bit rate with download conditions.

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Non-Stationary Resource Allocation Policies for Delay-Constrained Video Streaming: Application to Video over Internet-of-Things-Enabled Networks

Cited by 49 publications

References 23 publications

Mobility Aware Framework for Timeslotted Channel Hopping IEEE 802.15.4e Sensor Networks

Mobility Aware Framework for Timeslotted Channel Hopping IEEE 802.15.4e Sensor Networks

Probabilistic Prediction based Scheduling for Delay Sensitive Traffic in Internet of Things

DASCo: dynamic adaptive streaming over CoAP

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