Mobility Aware RPL (MARPL): Mobility to RPL on Neighbor Variability

Marques, Vinícius de Figueiredo; Kniess, Janine

doi:10.1007/978-3-030-19223-5_5

Cited by 4 publications

(5 citation statements)

References 14 publications

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“…This section is reviewed the proposed trickle timer-based OFs in the context of vehicular ad hoc network (VANET) in previous studies. [26][27][28][29][30][31] A simulation study of RPL was provided in Lee et al 30 The impact of different parameters on its performance was studied; it provided insights into the regulation of RPL in VANET. The authors used immediate ETX probing to select new parents, loop avoidance, and detection by discarding the DIO to improve packet delivery.…”

Section: Trickle Timer-based-ofmentioning

confidence: 99%

“…It is called trickle timer‐based OF in this SLR. This section is reviewed the proposed trickle timer‐based OFs in the context of vehicular ad hoc network (VANET) in previous studies 26–31 …”

Section: Mobility‐aware Rpl‐based Of Approachesmentioning

confidence: 99%

“…A new MARPL protocol was proposed in a previous work 31 to provide a mobility detection mechanism based on neighbor diversity. In this protocol, a trickle adjustment mechanism was used to increase the transmission of control messages and minimize malicious disconnection effects.…”

Section: Mobility‐aware Rpl‐based Of Approachesmentioning

confidence: 99%

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The applications of the routing protocol for low‐power and lossy networks (RPL) on the internet of mobile things

Ghanbari

Navimipour

Hosseinzadeh

et al. 2022

Int J Communication

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Summary Internet of Mobile Things (IoMT) have become very popular recently. The routing protocol for low power and lossy networks (RPL) is standardized for static topologies. However, mobility is the nature of IoT. Mobility serves as a promising candidate to harness hand‐off time issues, delay in data transmission, overhead, and low packet delivery rate (PDR) effectively. This study presents a comprehensive account of the mobility‐aware RPL‐based routing protocols to validate and compare the experimental results. Remarkably, classification methods are used in many articles. The aim is to introduce significant research efforts to improve RPL objective functions (OF) performance in hand‐off time, PDR, delay, overhead, and so forth. In this regard, a complete analysis of the existing routing protocols in IoMT has been presented to compare the results. The main focus of this study is on approaches that proposed new OFs for supporting mobility in RPL. Two main categories are considered to study RPL‐based routing protocol mechanisms: The mobile and static sink. The related studies on the mobile sink are divided into three groups: Single metric‐based OF, composite metric OF, and hybrid routing protocols. Also, the related works based on the static sink are categorized into four groups: Fuzzy logic‐based OF, trickle timer‐based OF, composite metrics‐based OF, and modification control messages‐based OF approach. This paper presents a detailed comparison of mechanisms in each category. It also highlights the pros, cons, open issues, and evaluated metrics of each paper. Besides, challenges of mobility in the RPL‐based routing protocol mechanism in IoMT for future studies.

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Section: Trickle Timer-based-ofmentioning

confidence: 99%

Section: Mobility‐aware Rpl‐based Of Approachesmentioning

confidence: 99%

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The applications of the routing protocol for low‐power and lossy networks (RPL) on the internet of mobile things

Ghanbari

Navimipour

Hosseinzadeh

et al. 2022

Int J Communication

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“…Several works [4,10,13,46] have also addressed the problem of routing in the presence of mobility, as RPL restricts a mobile node to join the network only as a leaf. Although T-RPL does not address mobility directly, we observe that its use of dissemination as an alternate channel to bypass broken downward routes in principle could be beneficial also in this context.…”

Section: Related Workmentioning

confidence: 99%

Route or Flood? Reliable and Efficient Support for Downward Traffic in RPL

Istomin

Iova

Picco

et al. 2019

ACM Trans. Sen. Netw.

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Modern protocols for wireless sensor networks efficiently support multi-hop upward traffic from many sensors to a collection point, a key functionality enabling monitoring applications. However, the ever-evolving scenarios involving low-power wireless devices increasingly require support also for downward traffic, e.g., enabling a controller to issue actuation commands based on the monitored data. The IETF Routing Protocol for Low-power and Lossy Networks (RPL) is among the few tackling both traffic patterns. Unfortunately, its support for downward traffic is significantly unreliable and inefficient compared to its upward counterpart. We tackle this problem by extending RPL with mechanisms inspired by opposed, yet complementary, principles. At one extreme, we retain the route-based operation of RPL and devise techniques allowed by the standard but commonly neglected by popular implementations. At the other extreme, we rely on flooding as the main networking primitive. Inspired by these principles, we define three base mechanisms, integrate them in a popular RPL implementation, analyze their individual and combined performance, and elicit the resulting tradeoffs in scalability, reliability, and energy consumption. The evaluation relies on simulation, using both real-world topologies from a smart city scenario and synthetic grid ones, as well as on testbed experiments validating our findings from simulation. Results show that the combination of all three mechanisms into a novel protocol, T-RPL (i) yields high reliability, close to the one of flooding, (ii) with a low energy consumption, similar to route-based approaches, and (iii) improves remarkably the scalability of RPL with respect to downward traffic.

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“…Internet das coisas (IoT) é um conceito que visa incluir conectividade sem fio em dispositivos do dia a dia, a fim de permitir muitas formas de aplicativos inteligentes. A motivac ¸ão para tais aplicac ¸ões é a análise de uma enorme quantidade de dados coletados por dispositivos com ligac ¸ão à Internet [de Figueiredo Marques and Kniess 2019]. Com a evoluc ¸ão das tecnologias de comunicac ¸ão sem fio na indústria, um volume maior de dispositivos passou a estar conectado à Internet.…”

Section: Introduc ¸ãOunclassified

Optimization of Task Allocation in Edge Computing to Industrial Internet with Simulated Annealing

Barbosa,

Kniess,

Parpinelli

2023

Anais Do XX Encontro Nacional De Inteligência Artificial E Computacional (ENIAC 2023)

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Com o crescimento do número de aplicações no contexto da Internet Industrial (IIoT), surgem novos requisitos para atender as tarefas críticas com relação ao tempo de resposta. A Computação na Borda oferece uma alternativa em relação ao processamento dos dados na nuvem computacional, pois emprega recursos na borda da rede local, possibilitando o processamento das tarefas dos dispositivos industriais com baixa latência. Neste trabalho, propõem-se uma Abordagem para a Alocação de Tarefas de veículos industriais, utilizandose de nós de borda (edge). O edge recebe simultaneamente múltiplas tarefas de diferentes veículos. Como consequência, adveio a demanda por definir a melhor ordem de processamento das tarefas que atenda aos requisitos de prazo impostos pelas aplicações. A solução foi modelada com base na meta-heurística Simulated Annealing para encontrar a melhor ordem para o atendimento dentro do tempo limite. Os resultados obtidos no simulador iFogSim, demonstram que a Abordagem para a Alocação de Tarefas pôde selecionar a melhor combinação de processamento que obedeça ao tempo de atendimento requerido.

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Mobility Aware RPL (MARPL): Mobility to RPL on Neighbor Variability

Cited by 4 publications

References 14 publications

The applications of the routing protocol for low‐power and lossy networks (RPL) on the internet of mobile things

The applications of the routing protocol for low‐power and lossy networks (RPL) on the internet of mobile things

Route or Flood? Reliable and Efficient Support for Downward Traffic in RPL

Optimization of Task Allocation in Edge Computing to Industrial Internet with Simulated Annealing

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