Distributed Stable Routing with Adaptive Power Control for Multi-Flow and Multi-Hop Mobile Cognitive Networks

Tang, Feilong; Fu, Luoyi; Li, Xu

doi:10.1109/tmc.2018.2885762

Cited by 13 publications

(2 citation statements)

References 38 publications

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“…Alhosainy et al proposed a combined stable routing algorithm and adaptive power adjustment for multi‐flow and multi‐hop MAC‐Nets, with the aim of optimizing network throughput 28 . Tang et al proposed a joint stable routing and adaptive power adjustment algorithm for multi‐stream and multi‐hop MAC networks with the goal of maximizing network throughput 29 . Wang et al proposed a distributed dynamic routing algorithm based on the mobility of nodes to establish an effective routing mechanism for WANETs 30 …”

Section: Related Workmentioning

confidence: 99%

“…28 Tang et al proposed a joint stable routing and adaptive power adjustment algorithm for multi-stream and multi-hop MAC networks with the goal of maximizing network throughput. 29 Wang et al proposed a distributed dynamic routing algorithm based on the mobility of nodes to establish an effective routing mechanism for WANETs. 30 In addition, swarm intelligence algorithms are also applied to routing optimization in WANETs.…”

Section: Related Workmentioning

confidence: 99%

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Energy efficiency optimization routing decision scheme in three‐dimensional wireless ad hoc network

Liu

Chen

Wang

2023

Concurrency and Computation

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In recent years, many realistic wireless ad hoc networks (WANETs) have taken on three-dimensional characteristics due to the implementation of various structures such as viaducts, tunnels, and overpasses. An increasing amount of work has also been devoted to studying the challenges posed by 3D vanet scenarios. And research on routing methods for 3D vanet scenarios is a hot topic. However, the three-dimensional scene routing decision schemes have some problems, such as low data transmission efficiency, high energy consumption, and low end-to-end delays. Therefore, an energy efficiency optimization routing decision system is proposed based on the establishment of a three-dimensional Voronoi polygon topology model. First, we define a node state-related attribute parameter that determines whether the source node and the forward node are linked. The data forwarding node is determined by comparing attribute differences. Then, a power control mechanism based on received signal strength is proposed to solve the energy consumption, which includes deterministic and random parts. Finally, the specific state of the network node is monitored by comparing the attribute decision matrix to ensure basic maintenance of network operation and improve network transmission reliability. The simulation results show that the proposed scheme not only ensures the communication performance index in WANETs but also improves the reliability of the network.

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Section: Related Workmentioning

confidence: 99%