An Efficient RPL-Based Mechanism for Node-to-Node Communications in IoT

Mahyoub, Mohammed; Mahmoud, Ashraf; Abu-Amara, Marwan; Sheltami, Tarek R.

doi:10.1109/jiot.2020.3038696

Cited by 19 publications

(10 citation statements)

References 51 publications

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“…Most of the works are based on IoT which naturally has power limitations [7], [38]. Also, there are experimental investigations carried out to distinctly evaluate localized metrics such as energy consumption [37], node capacity, sensing scalability [39], prediction accuracy [28], node-to-node communication [40], and security [41]. The focal commonality in most works and several other existing studies is that one or more technologies are focused on their discussions.…”

Section: B Assisted Living Node Capabilitiesmentioning

confidence: 99%

WearROBOT: An Energy Conservative Wearable Obstacle Detection Robot With LP Multi-Commodity Graph

Okafor

Longe

2022

IEEE Access

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Human activity wearable obstacle detection for the visually impaired (VI) is developed for routine monitoring and observation of surrounding events. Environmental observation, home surveillance, and assistive supports are now built on wearable devices using Inertia-based sensors, such as accelerometers, linear acceleration, and gyroscopes. Previous assisted living system (ALS) still faces challenges in energy management and resource allocation when performing daily activities, particularly with ambulation. Legacy systems cannot fully improve self-esteem, hence, WearROBOT. It detects rearview obstacles and has an audio feedback system incorporated for voicing out once an obstacle is detected. Linear programing (LP) multi-commodity graph (LMCG) learning model is proposed while coupling the shortest path resource allocation for space diversity linearization. An Infrared sensor problem function that minimizes link utilization is derived. Angle-Intensity analysis (AIA) is carried out on various use case scenarios to enable the user to know the best angle to consider depending on its usage and battery conservation. The work showed how intensity differs at various angles at 5°,15°,20° 35°, and 45° respectively. Also, the reflectivity of different materials and how it affects the battery life are studied. As the wearable robot moves away from the node-obstacle, the LMCG narrow-band sensor node (LMCG-NB-IoT) drops energy significantly. The Low Power WAN (LP-WAN), Bluetooth Low-Energy (BLE) and proposed LMCG-NB-IoT offered 51.28%, 33.33%, and 15.39% respectively. In terms of energy latency, the schemes gave 65.63%, 31.25%, and 3.12% respectively. Similarly, the proposed LMCG-NB-IoT had a 50% battery life profile. Finally, WearROBOT mobility aid minimizes injuries experienced by the visually impaired.

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Section: B Assisted Living Node Capabilitiesmentioning

confidence: 99%

WearROBOT: An Energy Conservative Wearable Obstacle Detection Robot With LP Multi-Commodity Graph

Okafor

Longe

2022

IEEE Access

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“…Note that the lookup success is significantly affected by the routing protocol of the network layer (i.e., RPL in our experiments). In a sense, the lookup message might be dropped due to not being forwarded over the correct path towards the intended destination [ 80 ]. As illustrated in Figure 13 , ContikiMac obtains a slightly higher lookups PDR compared to NullRDC because NullRDC does not provide any retransmission [ 81 ].…”

Section: Performance Evaluationmentioning

confidence: 99%

Towards Scalable and Efficient Architecture for Modeling Trust in IoT Environments

Ghaleb

Azzedin

2021

Sensors

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The Internet of Services (IoS) is gaining ground where cloud environments are utilized to create, subscribe, publish, and share services. The fast and significant evolution of IoS is affecting various aspects in people’s life and is enabling a wide spectrum of services and applications ranging from smart e-health, smart homes, to smart surveillance. Building trusted IoT environments is of great importance to achieve the full benefits of IoS. In addition, building trusted IoT environments mitigates unrecoverable and unexpected damages in order to create reliable, efficient, stable, and flexible smart IoS-driven systems. Therefore, ensuring trust will provide the confidence and belief that IoT devices and consequently IoS behave as expected. Before hosting trust models, suitable architecture for Fog computing is needed to provide scalability, fast data access, simple and efficient intra-communication, load balancing, decentralization, and availability. In this article, we propose scalable and efficient Chord-based horizontal architecture. We also show how trust modeling can be mapped to our proposed architecture. Extensive performance evaluation experiments have been conducted to evaluate the performance and the feasibility and also to verify the behavior of our proposed architecture.

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“…The ETX is a measurement to indicate the bidirectional transmission quality of a link and widely used to determine the reliable routing path [14][15]. As an efficient routing metric, many metrics based on ETX have been introduced to determine the reliable routing path for LLNs [16][17][18][19][20][21].…”

Section: Introductionmentioning

confidence: 99%

EQ-RPL: An Energy-Efficient and Quality-Aware Routing Protocol for IoT-Based Low-Power and Lossy Networks

王勝石¹,

Wang²

2022

Journal of Internet Technology

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<p>In recent years, the advances in sensing and communication technologies have led to the rapid development of various applications of the Internet of Things (IoT). The devices in IoT form an autonomous network architecture, in which the device has a limited battery power and the link has a low reliability. This kind of network is called the low-power and lossy network. In this paper, we propose a routing protocol for low-power and lossy networks. The proposed protocol introduces a novel rank value to construct a proper destination-oriented directed acyclic graph for the source node to transmit packets to the destination node. The proposed rank value is mainly derived from the expected transmission count, which is widely used to represent the link quality. Moreover, we consider the residual energy as the metric for a node to select the proper node to relay the packet to the destination node. We conducted simulations for performance evaluation, showing that the proposed routing protocol improves the packet delivery ratio, especially for the environment with a high bit error rate. The result also validated that our approach achieves the balance of energy consumption of nodes, compared to the existing approach.</p> <p> </p>

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An Efficient RPL-Based Mechanism for Node-to-Node Communications in IoT

Cited by 19 publications

References 51 publications

WearROBOT: An Energy Conservative Wearable Obstacle Detection Robot With LP Multi-Commodity Graph

WearROBOT: An Energy Conservative Wearable Obstacle Detection Robot With LP Multi-Commodity Graph

Towards Scalable and Efficient Architecture for Modeling Trust in IoT Environments

EQ-RPL: An Energy-Efficient and Quality-Aware Routing Protocol for IoT-Based Low-Power and Lossy Networks

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