MAC protocols for wireless sensor networks over radio-over-fiber links

Andrade, Tiago Faustino; Fonseca, Nelson L. S. da; Oliveira, Leonardo B.; Branquinho, Omar Carvalho

doi:10.1109/icc.2012.6364498

Cited by 12 publications

(6 citation statements)

References 18 publications

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“…Author A, Author B ktl N has focused mainly on the physical layer enabling technologies [10]- [13] and only a limited number of attempts for functional architectures including Medium Access Control Mechanisms over RoF infrastructures has been reported so far [14]- [19]. The latter have either focused on exploiting the underlying fiber infrastructure strictly as a passive distribution network used for the purpose of longdistance data delivery [14]- [17] or have exclusively relied on methods for the direct adaptation of already existing wireless MAC protocols onto the RoF-backhauled environment [8], [18]- [19], treating actually the optical network part as a passive point-to-point link. Such an approach does certainly not favor the seamless interplay of currently distinct optical/wireless functional portfolios.…”

Section: A Client-weighted Medium-transparent Mac Protocol For User-cmentioning

confidence: 99%

Client-Weighted Medium-Transparent MAC Protocol for User-Centric Fairness in 60 GHz Radio-Over-Fiber WLANs

Kalfas¹,

Maniotis

Markou

et al. 2013

J. Opt. Commun. Netw.

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We present a novel Client-Weighted Medium-Transparent MAC (CW-MT-MAC) protocol with enhanced fairness service delivery properties accompanied by a low-loss Remote Access Unit (RAU) architecture for use in indoor, Gbps capable, 60 GHz Radio-over-Fiber (RoF) Wireless Local Access Networks (WLANs). Our approach relies on incorporating a Client Weighted Algorithm (CWA) in the optical capacity allocation mechanism employed in the MT-MAC scheme, so as to distribute the available wavelengths to the different antenna units according to the total number of active users served by each individual antenna. The protocol's throughput and delay fairness characteristics are evaluated and validated through both simulations and analytic modeling for saturated network traffic operational conditions. In addition, extended simulation-based performance analysis for nonsaturated network conditions and for different enduser distributions, traffic loads and available optical wavelengths at 1 Gbps data rates are presented. Our results confirm that complete throughput equalization can be achieved even for highly varying user population patterns when certain wavelength availability conditions are satisfied. At the same time, the presented scheme manages to equalize the average packet delays amongst packets generated by all RAUs while concurrently dropping the Packet Delay Variation (PDV) metric that is essential for Quality of Service (QoS) delivery. Finally the Manuscript received October 9, 2001.

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Section: A Client-weighted Medium-transparent Mac Protocol For User-cmentioning

confidence: 99%

Client-Weighted Medium-Transparent MAC Protocol for User-Centric Fairness in 60 GHz Radio-Over-Fiber WLANs

Kalfas¹,

Maniotis

Markou

et al. 2013

J. Opt. Commun. Netw.

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“…Load balance could relieve pressure to some extent, but it might also put a negative impact on system performance. Another solution is to use larger buffer to store the data [10], but this solution is beyond the system processing capacity. This solution could cause large delay which is not feasible for some real-time application.…”

Section: Introductionmentioning

confidence: 99%

A dynamic assignment scheduling algorithm for big data stream processing in mobile Internet services

Yan

Wang²,

et al. 2016

Pers Ubiquit Comput

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As the huge number of mobile devices (e.g., smart phones, tablets and netbooks) increases, more and more people choose to use the Internet services financed by mobile Internet service providers (MISPs). To provide better services, it is quite necessary for MISPs to analyze the information hidden in the big data stream generated by users. Therefore, processing the real-time big data stream efficiently has become increasingly important. However, traditional static data storage technology fails to meet the demands of real-time data processing. To improve processing capacity, many parallel processing structures are proposed, which brings up the problem about how the parallel devices can be scheduled to maximize their efficiency. Accordingly, a dynamic assignment scheduling algorithm for big data stream processing in mobile Internet services is proposed, and a stream query graph is built to calculate the weight of every edge. The edge with the minimum weight is selected to send tuples. Simulation results show that the proper number of the logic devices can dramatically reduce system response time. Furthermore, system context switching is reduced by increasing the number of tuples sent each time.

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“…In some applications, the sensor nodes need to operate in low power mode to preserve battery charge and extend its operating lifetime, thus limiting the WSN coverage by its restricted transmission power when sending monitored data. However, this limitation can be mitigated by using an optical fiber communication network as system backhaul [3,4]. With the Radio over Fiber (RoF) backhaul, it is possible to increase the distance between a WSN cluster, comprised of several sensor nodes and a local coordinator node, and the Management Center by several kilometers if needed [5].…”

Section: Introductionmentioning

confidence: 99%

“…RoF links are often used in a point-to-point topology [2,5,7,8,9,10], which would lead to a central site with several RoF equipment connected to the clusters equipment. In order to reduce equipment cost it is proposed using the system in a bus topology, as in [3,4], this way connecting all the distant clusters RoF under only one RoF equipment on the central site.…”

Section: Introductionmentioning

confidence: 99%

WSN Coverage Improvement with ROF in Bus Topology for Smart Cities

Assumpção¹,

Martins²,

Behrens³

et al. 2018

Anais De XXXVI Simpósio Brasileiro De Telecomunicações E Processamento De Sinais

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This work proposes an experimental coverage evaluation of a Wireless Sensor Network (WSN) connected with Radio-over-Fiber (RoF) network operating as system backhaul that can be implemented in WSN under the Internet of Things (IoT) context. The RoF is assembled in a bus topology and has a radio repeater for signal distribution to the WSN. Impairments present in RoF systems that degrade the RF signal are analyzed. The main parameter used to evaluate the WSN coverage of this system is distance by Packet Error Rate analysis. The results show that the radio repeater device brings benefits to signal quality, improving the area coverage of a WSN. The bus topology used for RoF reduces equipment cost.

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MAC protocols for wireless sensor networks over radio-over-fiber links

Cited by 12 publications

References 18 publications

Client-Weighted Medium-Transparent MAC Protocol for User-Centric Fairness in 60 GHz Radio-Over-Fiber WLANs

Client-Weighted Medium-Transparent MAC Protocol for User-Centric Fairness in 60 GHz Radio-Over-Fiber WLANs

A dynamic assignment scheduling algorithm for big data stream processing in mobile Internet services

WSN Coverage Improvement with ROF in Bus Topology for Smart Cities

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