CR-NBEER: Cooperative-Relay Neighboring-Based Energy Efficient Routing Protocol for Marine Underwater Sensor Networks

Hussain, Altaf; Hussain, Takasar; Ullah, Inam; Muminov, Bahodir; Khan, Muhammad Zubair; Alfarraj, Osama; Gafar, A. M.

doi:10.3390/jmse11071474

Cited by 4 publications

(3 citation statements)

References 46 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…18-20, respectively. Apart from the LEACH, the proposed APSO has also been evaluated and compared with three other senior protocols, which are NBEER [59], CR-NBEER [60], and CEER [61] routing protocols. From the expanded evaluations, it has further been observed and concluded that the proposed APSO performed better.…”

Section: Simulation Resultsmentioning

confidence: 99%

Accelerated Particle Swarm Optimization Algorithm for Efficient Cluster Head Selection in WSN

Ahmad,

Hussain,

Shah

et al. 2024

CMC

View full text Add to dashboard Cite

Numerous wireless networks have emerged that can be used for short communication ranges where the infrastructure-based networks may fail because of their installation and cost. One of them is a sensor network with embedded sensors working as the primary nodes, termed Wireless Sensor Networks (WSNs), in which numerous sensors are connected to at least one Base Station (BS). These sensors gather information from the environment and transmit it to a BS or gathering location. WSNs have several challenges, including throughput, energy usage, and network lifetime concerns. Different strategies have been applied to get over these restrictions. Clustering may, therefore, be thought of as the best way to solve such issues. Consequently, it is crucial to analyze effective Cluster Head (CH) selection to maximize efficiency throughput, extend the network lifetime, and minimize energy consumption. This paper proposed an Accelerated Particle Swarm Optimization (APSO) algorithm based on the Low Energy Adaptive Clustering Hierarchy (LEACH), Neighboring Based Energy Efficient Routing (NBEER), Cooperative Energy Efficient Routing (CEER), and Cooperative Relay Neighboring Based Energy Efficient Routing (CR-NBEER) techniques. With the help of APSO in the implementation of the WSN, the main methodology of this article has taken place. The simulation findings in this study demonstrated that the suggested approach uses less energy, with respective energy consumption ranges of 0.1441 to 0.013 for 5 CH, 1.003 to 0.0521 for 10 CH, and 0.1734 to 0.0911 for 15 CH. The sending packets ratio was also raised for all three CH selection scenarios, increasing from 659 to 1730. The number of dead nodes likewise dropped for the given combination, falling between 71 and 66. The network lifetime was deemed to have risen based on the results found. A hybrid with a few valuable parameters can further improve the suggested APSO-based protocol. Similar to underwater, WSN can make use of the proposed protocol. The overall results have been evaluated and compared with the existing approaches of sensor networks.

show abstract

Section: Simulation Resultsmentioning

confidence: 99%

Accelerated Particle Swarm Optimization Algorithm for Efficient Cluster Head Selection in WSN

Ahmad,

Hussain,

Shah

et al. 2024

CMC

View full text Add to dashboard Cite

show abstract

“…The key to this method is how to find the nearest node to the target node and use it as the next hop during the forwarding process. The energy-controlled routing protocol [38][39][40][41][42] primarily addresses the issue of overall energy balancing in a network, aiming to maximize the overall network lifetime while ensuring reliable data transmission. By efficiently distributing energy usage among network nodes, the protocol helps to prevent premature energy depletion in certain nodes, thus extending the overall network lifetime.…”

Section: Related Workmentioning

confidence: 99%

uw-WiFi: Small-Scale Data Collection Network-Based Underwater Internet of Things

Zhu,

Pan,

Peng

et al. 2024

JMSE

View full text Add to dashboard Cite

The establishment of the Underwater Internet of Things (UIoT) and the realization of interconnection between heterogeneous underwater intelligent devices are urgent global challenges. Underwater acoustic networking is the most suitable technology to achieve UIoT for medium to long ranges. This paper presents an underwater Wi-Fi network, called uw-WiFi, that utilizes a master–slave mode architecture. uw-WiFi is dedicated to solving the problem of underwater acoustic networking with limited coverage range and number of nodes. To ensure the reliability of different types of data in the network, a reliable segmentation transmission protocol based on data type is designed. Additionally, on-demand scheduling based on the reservation MAC protocol is developed to solve the channel resource sharing problem. The uw-WiFi system has undergone shallow sea tests, and the experimental results demonstrate that the uw-WiFi network is capable of achieving a network throughput of 500 bps or higher, indicating superior network performance.

show abstract

“…Hussain et al [70] proposed an approach that focuses specifically on cooperation and relay optimization schemes, presenting an extension of the Neighboring-Based Energy-Efficient Routing (NBEER) protocol. Performance evaluation considers path loss, end-toend delay, packet delivery ratio, and energy consumption.…”

Section: Uwsnsmentioning

confidence: 99%

Internet of Underwater Things: A Survey on Simulation Tools and 5G-Based Underwater Networks

Nkenyereye,

Ndibanje

2024

Electronics

View full text Add to dashboard Cite

The term “Internet of Underwater Things (IoUT)” refers to a network of intelligent interconnected underwater devices designed to monitor various underwater activities. The IoUT allows for a network of autonomous underwater vehicles (AUVs) to communicate with each other, sense their surroundings, collect data, and transmit them to control centers on the surface at typical Internet speeds. These data serve as a valuable resource for various tasks, including conducting crash surveys, discovering shipwrecks, detecting early signs of tsunamis, monitoring animal health, obtaining real-time aquatic information, and conducting archaeological expeditions. This paper introduces an additional set of alternative simulation tools for underwater networks. We categorize these tools into open-source and licensed simulator options and recommend that students consider using open-source simulators for monitoring underwater networks. There has not been widespread deployment or extensive research on underwater 5G-based networks. However, simulation tools provide some general insights into the challenges and potential issues associated with evaluating such networks, based on the characteristics of underwater communication and 5G, by surveying 5G-based underwater networks and 5G key aspects addressed by the research community in underwater network systems. Through an extensive review of the literature, we discuss the architecture of both Internet of Underwater application-assisted AUVs and Internet of Underwater Things communications in the 5G-based system.

show abstract

CR-NBEER: Cooperative-Relay Neighboring-Based Energy Efficient Routing Protocol for Marine Underwater Sensor Networks

Cited by 4 publications

References 46 publications

Accelerated Particle Swarm Optimization Algorithm for Efficient Cluster Head Selection in WSN

Accelerated Particle Swarm Optimization Algorithm for Efficient Cluster Head Selection in WSN

uw-WiFi: Small-Scale Data Collection Network-Based Underwater Internet of Things

Internet of Underwater Things: A Survey on Simulation Tools and 5G-Based Underwater Networks

Contact Info

Product

Resources

About