在manet中使用ACO和CLD技术设计自适应协议

Sadanand Inamdar, B. Sathish Babu, R. Yadahalli
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引用次数: 0

摘要

移动自组织网络(manet)被设想为无线网络的战场应用,在有限功率的移动节点之间以多跳方式建立合作,以证明彼此之间的相互通信。在自配置和自组织性质的manet中,设计自适应协议是一个巨大的挑战。灵活的自然仿生算法和新的跨层交互设计方法满足了自适应的需求。自适应协议的性能取决于网络条件计算和获取的准确性。本文提出了一种基于蚁群的网络状态估计技术。跨层交互可以利用节点密度和流量强度参数等网络条件优化端到端延迟。仿真研究表明,在高数据传输速率和节点数量较大的情况下,自适应管理协议在manet中也能提高性能。
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ACO and CLD Techniques in MANETs to Design Adaptable Protocols
Mobile Ad hoc Networks (MANETs) envisioned as battlefield application of wireless networks build cooperation in a multi-hop fashion between limited powered mobile nodes to prove inter-communication with one another. In self-configuring and self-organizing nature MANETs, designing adaptive protocols is a great challenge. Remarkably flexible natured bio-inspired algorithms and new design approach of cross layer interactions meet the needs of adaptability in MANET’s protocols. The adaptable protocol’s performance depends on accuracy of calculation and acquisition of network conditions. This paper proposes ant based technique to estimate the network conditions. Cross layer interactions enable optimization in end- to-end delay using network conditions like node density and traffic intensity parameters. Simulation study shows that adaptive management of protocols in MANETs has improved performance even at high data transmission rates, and for larger number of nodes.
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