Using of multiple RPL instances for enhancing the performance of IoT-based systems

Al-Abdi, Amnah; Mardini, Wail; Aljawarneh, Shadi; Mohammed, Tareq Abed

doi:10.1145/3368691.3368718

Cited by 21 publications

(6 citation statements)

References 24 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…To verify DODAG coherence, unique DODAG IDs are assigned to each DODAG in a model. Within RPL, these identifiers are shared via the IPv6 protocol [14]. A single instance of a DAG can have more than one RPL node participating in it.…”

Section: Instances In Rplmentioning

confidence: 99%

Advancing Healthcare Networks: Optimizing Multi-Objective RPL for Diverse Traffic in Low-Power, Lossy Environments

Animesh Giri

2024

jes

View full text Add to dashboard Cite

RPL: Powering modern healthcare IoT Networks. The Routing Protocol for Low Power and Lossy Networks(RPL) is a protocol specifically designed for routing in networks characterized by low power and lossy connections built on IPv6. It is specifically designed for the growing use of Instantaneous IoT (Internet of Things) applications. These networks cater to the specialized requirements of Low Power (resource-constrained) and Lossy Networks(unstable networks), also known as LLNs, where routing data smoothly and prioritizing traffic types are the significant challenges. Studies have shown that standard RPL, which makes use of a set of routing rules, struggles to provide the level of performance that many IoT applications in modern-day healthcare demand. This limits RPL’s potential in scenarios where we have a mix of data traffic, which is very common in healthcare settings. To handle the diverse data traffic found in healthcare settings, our method involves distributing several instances of RPL settings throughout the network. The main objective of this strategy is to improve the effectiveness of important and critical healthcare applications. We have developed and thoroughly tested our system using Contiki, which is an open-source IoT operating system. We have three instances in our MultiInstance RPL setup, each of which is intended to handle different kinds of network traffic and provide varying Quality of Service (QoS) measures. Different sets of Objective Function (OF) rules are used by each instance to decide which route is optimal for the data it processes. We have made use of OF0 (Objective Function 0) and MRHOF (Minimum Rank with Hysteresis Objective Function). We have rigorously tested our solution. Our focus has been on metrics like delay, average energy consumption and Packet Delivery Ratio (PDR). Compared to standard RPL, our approach improved packet delivery rates and significantly reduced delays for high priority data packets. This research shows how to better address the complex data traffic needs of real-time healthcare IoT networks.

show abstract

Section: Instances In Rplmentioning

confidence: 99%

Advancing Healthcare Networks: Optimizing Multi-Objective RPL for Diverse Traffic in Low-Power, Lossy Environments

Animesh Giri

2024

jes

View full text Add to dashboard Cite

show abstract

“…Since its standardization by the IETF in 2011, RPL has rapidly become the routing protocol in the world of tiny and embedded networking device. RPL deploys the paradigm of a Destination-Oriented Directed Acyclic Graph (DODAG) that has a tree-like structure connected to a data sink of the graph, named DODAG root [9,10]. This root is the final destination in the network architecture and it connects others descendant nodes to the Internet.…”

Section: Related Workmentioning

confidence: 99%

An IoT-Based Intrusion Detection System Approach for TCP SYN Attacks

Berguiga¹,

Harchay²

2022

Computers, Materials &Amp; Continua

View full text Add to dashboard Cite

The success of Internet of Things (IoT) deployment has emerged important smart applications. These applications are running independently on different platforms, almost everywhere in the world. Internet of Medical Things (IoMT), also referred as the healthcare Internet of Things, is the most widely deployed application against COVID-19 and offering extensive healthcare services that are connected to the healthcare information technologies systems. Indeed, with the impact of the COVID-19 pandemic, a large number of interconnected devices designed to create smart networks. These networks monitor patients from remote locations as well as tracking medication orders. However, IoT may be jeopardized by attacks such as TCP SYN flooding and sinkhole attacks. In this paper, we address the issue of detecting Denial of Service attacks performed by TCP SYN flooding attacker nodes. For this purpose, we develop a new algorithm for Intrusion Detection System (IDS) to detect malicious activities in the Internet of Medical Things. The proposed scheme minimizes as possible the number of attacks to ensure data security, and preserve confidentiality of gathered data. In order to check the viability of our approach, we evaluate analytically and via simulations the performance of our proposed solution under different probability of attacks.

show abstract

“…In [21], an approach was implemented RPL on fixed and mobile nodes to predict power consumption durability of sensor nodes by using a multiple metrics which include the radio obligation cycle, number of hops, and power mode for each node in the WSN. An assessment of the performance of multi-instances of RPL via the use of two OFs in [22]. The assessment carried out the implementation of RPL using single and multi-instance regarding PDR, routing tree convergence, and latency as factors for the overall performance.…”

Section: Related Workmentioning

confidence: 99%

“…PDR and power consumption are the main factors to evaluate RPL implementation based on ETX and OF0. We used the main default RPL parameters as in [18], [22] as shown in Table 1. Along with different values for sending interval time for data traffics' and packet size for the designated healthcare scenarios are shown in table 2.…”

Section: Simulation and Network Setupmentioning

confidence: 99%

Performance of RPL in Healthcare Wireless Sensor Network

Al-Shargabi¹

2020

IJETER

View full text Add to dashboard Cite

The new advances of the Internet of Things (IoT) technology can be utilized to promote service delivery in several real-life applications such as the healthcare systems. The Routing Protocol for Low Power and Loss Network (RPL) is a routing protocol designed to serve as a proper routing protocol for packets in Wireless Sensor Networks (WSN). Among the most prominent issues exist in the RPL protocol are packet loss within the WSN and sensors power consumption especially in healthcare WSNs. Multiple Objective Functions (OF) in RPL intended to find the routes from source nodes to a destination node. This paper presents an evaluation to discover which OF is more efficient for a WSN in a healthcare scenario where the Packet Delivery Ratio (PDR) of WSN and the sensors' power consumption are prominent concerns. Expected transmission Count (ETX) and Objective Function Zero (OF0) of RPL were examined in various network densities and network topologies such as the grid and random topology. The simulation outcomes revealed that the OF0 is more efficient regarding the PDR and power consumption compared to the ETX in random topology.

show abstract

Using of multiple RPL instances for enhancing the performance of IoT-based systems

Cited by 21 publications

References 24 publications

Advancing Healthcare Networks: Optimizing Multi-Objective RPL for Diverse Traffic in Low-Power, Lossy Environments

Advancing Healthcare Networks: Optimizing Multi-Objective RPL for Diverse Traffic in Low-Power, Lossy Environments

An IoT-Based Intrusion Detection System Approach for TCP SYN Attacks

Performance of RPL in Healthcare Wireless Sensor Network

Contact Info

Product

Resources

About