Congestion Detection Strategies in Wireless Sensor Networks: A Comparative Study with Testbed Experiments

Kafi, Mohamed Amine; Djenouri, Djamel; Othman, Jalel Ben; Ouadjaout, Abdelraouf; Badache, Nadjib

doi:10.1016/j.procs.2014.08.026

Cited by 27 publications

(10 citation statements)

References 10 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In many cases, a single metric cannot accurately perform the indication of congestion; therefore, a combination of specific metrics are taking into consideration. Some of the widely used metrics are channel load, buffer occupancy, packet transmission time, packet service time, packet loss and delay [ 11 ].…”

Section: Related Workmentioning

confidence: 99%

CoAR: Congestion-Aware Routing Protocol for Low Power and Lossy Networks for IoT Applications

Bhandari

Hosen

Cho

2018

Sensors

View full text Add to dashboard Cite

The IPv6 routing protocol for low power and lossy networks (RPL) was designed to satisfy the requirements of a wide range of Internet of Things (IoT) applications, including industrial and environmental monitoring. In most scenarios, different from an ordinary environment, the industrial monitoring system under emergency scenarios needs to not only periodically collect the information from the sensing region, but also respond rapidly to some unusual situations. In the monitoring system, particularly when an event occurs in the sensing region, a surge of data generated by the sensors may lead to congestion at parent node as data packets converge towards the root. Congestion problem degrades the network performance that has an impact on quality of service. To resolve this problem, we propose a congestion-aware routing protocol (CoAR) which utilizes the selection of an alternative parent to alleviate the congestion in the network. The proposed mechanism uses a multi-criteria decision-making approach to select the best alternative parent node within the congestion by combining the multiple routing metrics. Moreover, the neighborhood index is used as the tie-breaking metric during the parent selection process when the routing score is equal. In order to determine the congestion, CoAR adopts the adaptive congestion detection mechanism based on the current queue occupancy and observation of present and past traffic trends. The proposed protocol has been tested and evaluated in different scenarios in comparison with ECRM and RPL. The simulation results show that CoAR is capable of dealing successfully with congestion in LLNs while preserving the required characteristics of the IoT applications.

show abstract

Section: Related Workmentioning

confidence: 99%

CoAR: Congestion-Aware Routing Protocol for Low Power and Lossy Networks for IoT Applications

Bhandari

Hosen

Cho

2018

Sensors

View full text Add to dashboard Cite

show abstract

“…One can use more routing metrics such as channel load (channel busyness ratio), packet loss and energy consumption [146]. But, as a sensor node has limited computation capability and to keep the calculation simple and straightforward;…”

Section: Madm Based Resource Controlmentioning

confidence: 99%

Congestion Control for 6LoWPAN Wireless Sensor Networks: Toward the Internet of Things

Al-Kashoash¹

2020

Springer Theses

View full text Add to dashboard Cite

show abstract

“…The process of congestion control in WSNs and 6LoWPAN networks includes three steps: congestion detection, congestion notification, and congestion control and mitigation [6], [7], [15] as shown in Figure 3 detecting congestion and specifying its location. Many congestion detection mechanisms have been proposed and used in WSNs and 6LoWPAN networks, e.g., buffer occupancy, channel load, combination of buffer occupancy and channel load, packet service time, packet loss, and delay [31].…”

Section: Congestion In Wsns and 6lowpan Networkmentioning

confidence: 99%

Congestion control in wireless sensor and 6LoWPAN networks: toward the Internet of Things

et al. 2018

View full text Add to dashboard Cite

The Internet of Things (IoT) is the next big challenge for the research community where the IPv6 over low power wireless personal area network (6LoWPAN) protocol stack is a key part of the IoT. Recently, the IETF ROLL and 6LoWPAN working groups have developed new IP based protocols for 6LoWPAN networks to alleviate the challenges of connecting low memory, limited processing capability, and constrained power supply sensor nodes to the Internet. In 6LoWPAN networks, heavy network traffic causes congestion which significantly degrades network performance and impacts on quality of service (QoS) aspects such as throughput, latency, energy consumption, reliability, and packet delivery. In this paper, we overview the protocol stack of 6LoWPAN networks and summarize a set of its protocols and standards. Also, we review and compare a number of popular congestion control mechanisms in wireless sensor networks (WSNs) and classify them into traffic control, resource control, and hybrid algorithms based on the congestion control strategy used. We present a comparative review of all existing congestion control approaches in 6LoWPAN networks. This paper highlights and discusses the differences between congestion control mechanisms for WSNs and 6LoWPAN networks as well as explaining the suitability and validity of WSN congestion control schemes for 6LoWPAN networks. Finally, this paper gives some potential directions for designing a novel congestion control protocol, which supports the IoT application requirements, in future work.

show abstract

Congestion Detection Strategies in Wireless Sensor Networks: A Comparative Study with Testbed Experiments

Cited by 27 publications

References 10 publications

CoAR: Congestion-Aware Routing Protocol for Low Power and Lossy Networks for IoT Applications

CoAR: Congestion-Aware Routing Protocol for Low Power and Lossy Networks for IoT Applications

Congestion Control for 6LoWPAN Wireless Sensor Networks: Toward the Internet of Things

Congestion control in wireless sensor and 6LoWPAN networks: toward the Internet of Things

Contact Info

Product

Resources

About