Power-Aware and Void-Avoidant Routing Protocol for Reliable Industrial Wireless Sensor Networks

Soltani, Mohammad Reza; Motamedi, Seyed Ahmad; Ahmadi, Sharar; Maadani, Mohsen

doi:10.1109/wicom.2011.6040332

Cited by 6 publications

(3 citation statements)

References 10 publications

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“…† The collision probability of a packet transmitted by each station is independent from the number of retransmissions already suffered (accurate for fairly large number of competing nodes [3]). † Owing to the industrial applications, the PL is assumed to be 32 bytes (the typical value for monitoring/control applications [1,19,[21][22][23][24][25][26][33][34][35][36]). † The basic access mechanism of the DCF is used.…”

Section: Assumptionsmentioning

confidence: 99%

Saturated distributed coordination function Markov model for noisy soft‐real‐time industrial wireless networks

et al. 2014

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Section: Assumptionsmentioning

confidence: 99%

Saturated distributed coordination function Markov model for noisy soft‐real‐time industrial wireless networks

et al. 2014

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“…Here are some simplifying assumptions used in this paper, which are mostly common among the literature: All nodes always have a packet waiting to be transmitted (saturation traffic condition, similar to ). It somehow represents the worst‐case scenario, from the system performance point of view. The collision probability of a packet transmitted by each station is constant and independent, regardless of the number of retransmission already suffered (accurate for fairly large number of competing nodes ). Because of the industrial applications, the PL is assumed to be 32 bytes (the typical value for monitoring/control applications ). The basic access mechanism of the DCF is used. Because of the small size of the PL in industrial applications, the four‐way request to send/clear to send (RTS/CTS) mechanism is not practical .…”

Section: Markov Chain Model and Packet Delay Analysismentioning

confidence: 99%

“…The most important reason for some inconsistencies between the models and SIM results relies on the simplifying assumptions in the DCF DTMC model. Our extension to this work includes modeling the reliability–delay tradeoff in IEEE 802.11‐based industrial wireless networks , using more realistic channel models including multipath fading, extending the proposed model to the enhanced distributed channel access mechanism, and a complementary work to develop a reliable routing protocol for industrial use . Studying the performance of industrial networks using other MAC mechanisms defined in the latest version of the IEEE 802.11 standard , such as PCF, hybrid coordination function, and mesh coordination function, and modifying them to work better with the industrial applications, similar to the DPCF mechanism can be considered as important future pieces of work.…”

Section: Conclusion and Future Pieces Of Workmentioning

confidence: 99%

A comprehensive DCF performance analysis in noisy industrial wireless networks

Maadani

Motamedi

2014

Int J Communication

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Summary The use of wireless technology in industrial networks is becoming more popular because of its flexibility, reduction of cable cost, and deployment time. Providing an accurate model to study the most important parameters of these networks, the timeliness and reliability, is essential in assessing the network metrics and choosing proper protocol settings. The Institute of Electrical and Electronics Engineers (IEEE) 802.11 is a common and established wireless technology, and several analytical models have been proposed to assess its performance; however, most of them are accurate only for a limited network situation, especially data networks that have large packet payloads and are used at high signal to noise ratios, and cannot be applied to study the performance of industrial networks that have short packet lengths and are used in harsh and noisy environments. In this paper, a novel three‐dimensional discrete‐time Markov chain model has been proposed for the IEEE 802.11‐based industrial wireless networks using the distributed coordination function as the medium access control mechanism in the worst‐case saturated traffic. It considers both causes of the backoff freezing: busy channel and the successive interframe space waiting time. In this way, it provides a much more accurate estimation of the channel access and error probabilities, resulting in a more accurate network parameter calculation. Also, based on the proposed model, a comprehensive packet delay analysis, including average, jitter, and cumulative distribution function, has been provided for the near 100% reliable industrial scenario and error‐prone channel condition, which in comparison with similar pieces of work provides much more accurate results. Copyright © 2014 John Wiley & Sons, Ltd.

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AGEN-AODV: an Intelligent Energy-Aware Routing Protocol for Heterogeneous Mobile Ad-Hoc Networks

2021

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Power-Aware and Void-Avoidant Routing Protocol for Reliable Industrial Wireless Sensor Networks

Cited by 6 publications

References 10 publications

Saturated distributed coordination function Markov model for noisy soft‐real‐time industrial wireless networks

Saturated distributed coordination function Markov model for noisy soft‐real‐time industrial wireless networks

A comprehensive DCF performance analysis in noisy industrial wireless networks

AGEN-AODV: an Intelligent Energy-Aware Routing Protocol for Heterogeneous Mobile Ad-Hoc Networks

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