Radha Subramanyam, S. Rekha, P. Nagabushanam, Sai Krishna Kondoju
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引用次数: 0
摘要
随着无线网络应用的大幅增加,分布式资源分配在网络中变得非常有用。通过关注网络中节点的有效载荷大小、移动性和密度,可以提高数据包传输率和延迟。本文对用于通信的不同合作式和分布式 MAC 协议、各种应用的优化算法以及 MAC 协议中博弈论优化的相关数学问题进行了研究。使用分布式 MAC 协议,信道空间重用率提高了 (3-29) %,多信道吞吐量提高了 8%。通过 NASH 平衡,各个参与者的能量效用可以得到集中,从而获得更好的网络性能。模糊逻辑将信道选择提高了 17%,二级用户的参与度提高了 8%。在 MAC 中使用跨层方法可以解决干扰问题,在物联网和 WSN 应用中使用混合分布式 MAC 协议可以同时进行数据和语音传输。
Optimization Techniques in Cooperative and Distributed MAC Protocols
The tremendous increase in wireless network application finds distributed allocation of resources allocation very useful in the network. Packet delivery ratio and delay can be improved by concentrating on payload size, mobility, and density of nodes in the network. In this article, a survey is carried out on different cooperative and distributed MAC protocols for communication and optimization algorithms for various applications and the mathematical issues related to game theory optimizations in MAC protocol. Spatial reuse of channel improved by (3-29) % and multi-channel improves throughput by 8% using distributed MAC protocol. The energy utility of individual players can be focused to get better network performance with NASH equilibrium. Fuzzy logic improves channel selection by 17% and secondary users' involvement by 8%. Jamming, interference problems can be addressed using cross layer approach in the MAC and simultaneous data, voice transmissions in IoT; WSN applications can be attained using hybrid distributed MAC protocol.