ProStream: Programmable Underwater IoT Network for Multimedia Streaming

Gazi, Firoj; Ahmed, Nurzaman; Misra, Sudip; Tiwari, Manoj Kumar

doi:10.1109/jiot.2022.3159404

Cited by 7 publications

(4 citation statements)

References 40 publications

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“…In 2022, Gazi et al 18 suggested ProStream, an underwater multi‐hop system with programmable SDN for better association control, topology management, and multimedia transmission. The suggested plan takes into account a system having numerous APs as well as portable gateways and terminals.…”

Section: Literature Surveymentioning

confidence: 99%

“…Gazi et al 18 ProStream The achievements are shown with consideration to throughput, PDR, and latency.…”

Section: Novel Equalization and Decoding Techniquementioning

confidence: 99%

“…The total EC during DP transmission as well as reception should be smaller than the beginning energy of the node according to the restriction for the choice of the forwarder node in Equation (17). The data must ultimately be sent inside its transmission range, as specified in Equation (18), in order to get a quality signal, while Usy o stands for the necessary transmission rate and Usy max o for the maximum transmission range.…”

Section: Periodic Beconing In Underwater Iotsmentioning

confidence: 99%

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Improved geographic opportunistic routing protocol for void hole elimination in underwater IoTs: Parameter tuning by TSA optimization

Simon,

Kapileswar,

Phani Kumar

et al. 2023

Int J Communication

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SummaryUnderwater IoT is incredibly helpful in monitoring a variety of jobs, from instrument monitoring to climate recording, from pollution management to natural catastrophe forecasting. Nevertheless, there exist various issues that have an impact on a network's efficiency such as the formation of void holes, excessive EC, and low PDR. As a result, the IGOR protocol is suggested in this study to increase PDR by reducing the percentage of void hole occurrence. The developed routing protocols' scalability is also examined. Here, the parameter optimization for the EC minimization and PDR maximization is performed by a meta‐heuristic optimization algorithm referred to as TSA. In order to verify that the suggested protocol is EC‐optimal by calculating the viable areas. In addition, suggested protocols are evaluated against contemporaries' benchmark routing protocols. The outcomes of the simulations clearly demonstrate that the suggested routing protocols obtained greater PDR than the current techniques. Additionally, there exists a reduction in the ratio of void hole incidence. Comparative research reveals that suggested routing protocols outperformed benchmark routing protocols by 80–81% in PDR. Further, the suggested routing procedures reduced the frequency of void holes by around 30%.

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Section: Literature Surveymentioning

confidence: 99%

“…Gazi et al 18 ProStream The achievements are shown with consideration to throughput, PDR, and latency.…”

Section: Novel Equalization and Decoding Techniquementioning

confidence: 99%

Section: Periodic Beconing In Underwater Iotsmentioning

confidence: 99%

See 1 more Smart Citation

Improved geographic opportunistic routing protocol for void hole elimination in underwater IoTs: Parameter tuning by TSA optimization

Simon,

Kapileswar,

Phani Kumar

et al. 2023

Int J Communication

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“…Wireless Multimedia Sensor Networks (WMSNs) are one of the promising paradigms for the Internet of Things (IoT) [1]. WMSNs consist of wirelessly connected devices that can capture video data from the environment.…”

Section: Introductionmentioning

confidence: 99%

An Energy-Efficient Distributed Congestion Control Protocol for Wireless Multimedia Sensor Networks

Majeed

Malik²,

Abbas³

et al. 2022

Electronics

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Wireless multimedia sensor networks (WMSNs) generate a huge amount of multimedia data. Congestion is one of the most challenging open issues in WMSNs. Congestion causes low throughput, high packet loss and low energy efficiency. Congestion happens when the data carried by the network surpasses the available capacity. This article presents an energy-efficient distributed congestion control protocol (DCCP) to mitigate congestion and improve end-to-end delay. Compared to the other protocols, the DCCP protocol proposed in this article can alleviate congestion by intelligently selecting the best path. First, congestion is detected by using two congestion indicators. Second, each node aggregates the received data and builds a traffic congestion map. The traffic congestion map is used to calculate the best path. Therefore, the traffic is balanced on different routes, which reduces the end-to-end delay. Finally, a rate controller is designed to prevent congestion in the network by sending a congestion notification message to a source node. After receiving a congestion notification message, the source node immediately adjusts its transmission rate. Experimental results based on raspberry pi sensor nodes show that the proposed DCCP protocol significantly improves network performance and is superior to existing modern congestion control protocols.

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