Energy Efficient Multi-hop Cooperative Transmission Protocol for Large Scale Mobile Ad hoc Networks

Devulapalli, Praveen Kumar; Pardhasaradhi, P.; Maganti, Sushanth Babu

doi:10.1007/s11277-021-08878-2

Cited by 12 publications

(7 citation statements)

References 37 publications

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“…Every node in the network is regarded as having the identical transmit having power 𝑃 𝑡 , concurrent symmetrical channels 𝑂𝐶𝐻 and 𝐾. Every node uses GPS to determine its location, and other nodes can be located by periodically emitting beacon signals [30].…”

Section: System Modelmentioning

confidence: 99%

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Adaptive Reliable Cluster Head Selection Strategy for Multi-Hop Multimedia Wireless Sensor Networks

2024

IJIES

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The multimedia wireless sensor networks (MWSN) need high bit-error rates and high transmission rates in order to send high-quality images through smart devices. The multiple-input multiple-output (MIMO) technology, on which MWSN is based, significantly depends on cooperative communication to properly exploit its benefits. By simultaneously broadcasting multiple symmetrical channels to prevent interference, large-scale wireless networks use multi-radio, multi-channel technology to increase performance. Significant interference can prevent cooperative communication from progressing in large networks. Additionally, since each node in the network is mobile, cooperative multimedia wireless sensor networks have serious issues with routing and transmission latency. The MWSNs become more dynamic as a result of mobility, which is reflected in the overhead control traffic. An adaptive clustering algorithm (ACA) was proposed by concurrently considering (i) relay selection by using channel capacity, mobility and distance metrics and (ii) channel assignment (CA) utilising a dynamic global table (GT). Further to improve the stability of a cluster an adaptive reliable clustering algorithm (ARCA) is present based on a priority neighbour-following technique to choose the ideal neighbour nodes to join the same cluster during the cluster head selection phase to increase cluster stability and reliability passively. Our approach selects a relay-node based on mobility and the maximum available channel capacity in order to reduce end-to-end transmission latency while maintaining aggregate throughput. Simulation results shows that the proposed approach improves the aggregate throughput of the network by 150%, 225%, and 240% when compared to that of the Cluster-based cooperative multihop optimal relay selection (CCORS), energy aware cooperative image transmission (EACIT), and efficient cooperative image transmission (ECIT) respectively.

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Section: System Modelmentioning

confidence: 99%

“…The relay node gets data from the source node in each hop, amplifies it, and then retransmits it to the relay node in the following hop. The node 𝑖 node 𝑗 received signal is reported as [30].…”

Section: System Modelmentioning

confidence: 99%

Adaptive Reliable Cluster Head Selection Strategy for Multi-Hop Multimedia Wireless Sensor Networks

2024

IJIES

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“…Spatial diversity can be obtained in multi-radio multi hop cooperative wireless network, since each node is equipped with multiple radios. The routing path between source and destination is calculated by using cluster based hybrid multi-hop cooperative routing algorithm proposed in [12]. After calculating the route from source to destination to minimize the energy consumption, spatial diversity is implemented by using multiple radio (𝐾) terminals.…”

Section: Energy Aware Cooperative Image Transmissionmentioning

confidence: 99%

“…The amount of energy consumed per bit for 𝑖to 𝑗 transmission (i.e., per hop𝐸 ℎ ) is given by [12,25,26]…”

Section: Energy Aware Cooperative Image Transmissionmentioning

confidence: 99%

“…• In stage 1, when a new flow request arrives from the source node, a cooperative routing path is established between source and destination as illustrated in [12]. • In stage 2, source node obtains the maximum power required to transmit the image to meet the target bit error rate and making use of multiple radio terminal spatial multiplexing is implemented to further improve the performance of the MRMH-WSN.…”

Section: Introductionmentioning

confidence: 99%

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Energy Aware Cooperative Image Transmission for Multi-Radio Multi-Hop Wireless Sensor Networks

2022

IJIES

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A demanding job while transferring more quality images across Multi-Radio Multi-hop Wireless Sensor Network (MRMH-WSN) is to obtain good quality pictures by using less energy consumption. This work defines about a process where the cohesive image is transmitted from transmitter to the receiver of MRMH-WSN. The suggested method deals with efficient image transmission among orthogonal wireless channels with high quality of pictures and minimal error performance measurement. In this paper, we propose an Energy Aware Cooperative Image Transmission (EACIT) to minimize energy efficiency by calculating the maximum transmitting power to meet the target bit error rate in a hop and further by making use of multiple radio terminals, we improve the performance of EACIT by implementing spatial multiplexing. Simulation result shows that the proposed approach gives the better performance and saves 33% (approximately) of the energy compared to state-of-the-art algorithms.

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An intelligent dimension-based cat swarm optimization for efficient cooperative multi-hop relay selection in vehicular network

Kiran

Kumar

Roy

et al. 2023

Neural Comput & Applic

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Energy Efficient Multi-hop Cooperative Transmission Protocol for Large Scale Mobile Ad hoc Networks

Cited by 12 publications

References 37 publications

Adaptive Reliable Cluster Head Selection Strategy for Multi-Hop Multimedia Wireless Sensor Networks

Adaptive Reliable Cluster Head Selection Strategy for Multi-Hop Multimedia Wireless Sensor Networks

Energy Aware Cooperative Image Transmission for Multi-Radio Multi-Hop Wireless Sensor Networks

An intelligent dimension-based cat swarm optimization for efficient cooperative multi-hop relay selection in vehicular network

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