SplitPath: High throughput using multipath routing in dual-radio Wireless Sensor Networks

Junior, Nildo dos Santos Ribeiro; Vieira, Marcos A. M.; Vieira, Luiz F. M.; Gnawali, Omprakash

doi:10.1016/j.comnet.2022.108832

Cited by 8 publications

(2 citation statements)

References 18 publications

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“…WMNs consist of multiple internal APs managed concurrently by the AC. WMNs are the central expertise to developing Ad-Hoc networks where driver sharing with platform services can be accomplished [34].…”

Section: Telemedicine Services Based On Wmnsmentioning

confidence: 99%

IoT-Based Motorbike Ambulance: Secure and Efficient Transportation

et al. 2022

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The predilection for 5G telemedicine networks has piqued the interest of industry researchers and academics. The most significant barrier to global telemedicine adoption is to achieve a secure and efficient transport of patients, which has two critical responsibilities. The first is to get the patient to the nearest hospital as quickly as possible, and the second is to keep the connection secure while traveling to the hospital. As a result, a new network scheme has been suggested to expand the medical delivery system, which is an agile network scheme to securely redirect ambulance motorbikes to the nearest hospital in emergency cases. This research provides a secured and efficient telemedicine transport strategy compatible with the vehicle social network (VSN). The proposed telemedicine method should find the best ambulance motorbike route for getting patients to the hospital as quickly as possible. This approach also enables the secure exchange of information between ambulance motorbikes and hospitals. Ant colony optimization (ACO) is utilized as a SWARM technique to expand the capabilities of 5G-wireless mesh networks to determine the best path. To secure communication, the secure socket layer (SSL), which is boosted once by the advanced encryption standard (AES), has achieved a new suggested scheme as a cybersecurity approach. According to the performance evaluation, this approach will determine the optimal route for motorbike ambulances. Additionally, this technique establishes a secure connection between ambulance motorbikes and the hospital. The study enhances telemedicine transportation.

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Section: Telemedicine Services Based On Wmnsmentioning

confidence: 99%

IoT-Based Motorbike Ambulance: Secure and Efficient Transportation

et al. 2022

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“…and maintain reliable routes and quickly detect node failures [6,7]. Since ad hoc routing protocols, such as Ad-hoc On-demand Distance Vector (AODV), are very inefficient for LLNs, the Internet Engineering Task Force (IETF) standardized the IPv6-based RPL routing protocol for LLNs in 2012 [8,9,10].…”

mentioning

confidence: 99%

QFS-RPL: RPL Based Energy and Mobility Aware Multi Path Routing Protocol for the Internet of Mobile Things Data Transfer Infrastructures

Alilou

Sangar

Majidzadeh

et al. 2023

Preprint

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The Internet of Things (IoT) is a network of various interconnected objects capable of collecting and exchanging data without human interaction. These objects have limited processing power, storage space, memory, bandwidth and energy. Therefore, due to these limitations, data transmission and routing are challenging issues where data collection and analysis methods are essential. The Routing Protocol for Low-power and Lossy Networks (RPL) is one of the best alternatives to ensure routing in LoWPAN6 networks. However, RPL lacks scalability and basically designed for non-dynamic devices. Another drawback of the RPL protocol is the lack of load balancing support, leading to unfair distribution of traffic in the network that may decrease network efficiency. This study proposes a novel RPL-based routing protocol, QFS-RPL, using Q-learning algorithm policy and ideation from the Fisheye State Routing (FSR) protocol. The proposed QFS-RPL is as lightweight and agile as the standardized RPL and partially outperforms the mRPL protocol on mobile networks. This method supports multi-path routing, and at any given time in the network lifetime, all possible paths for sending data from any node to the sink are available. Therefore, QFS-RPL provides high resilience against errors, failures, and sudden network changes. To evaluate the performance of the proposed method, the Contiki operating system and Cooja simulator have been used in scenarios with mobile and stationary nodes and random network topologies. The results have been compared with RPL and mRPL. We have developed an algorithm for ease of data transfer in the IoT, which provides better performance than existing protocols, especially when dealing with a mobile network. The performance evaluation criteria considered for simulation are load balancing, energy consumption, number of table entries, Packet Delivery Ratio (PDR), End-to-End (E2E) latency, network throughput, convergence speed, and control packet overhead.

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