合作定位的联合节点选择和电力分配基于VANET中的招标拍卖
Geng Chen1, Lili Cheng1, Xiaoxian Kong1
1College of Electronic and Information Engineering, Shandong University of Science and Technology, Qingdao, 266590 China.
概括
本研究介绍了一种基于竞标拍卖的合作本地化 (BACL) 算法,以提高地下停车场的定位准确性. BACL算法激励代理节点共享位置数据,提高精度高达65%,同时降低资源消耗.
科学领域:
- 工程 工程师 工程师 工程师
- 计算机科学 计算机科学
- 无线通信无线通信
背景情况:
- 传统的定位技术在没有GPS/Wi-Fi的地下环境中失败.
- 资源限制和缺乏节点合作阻碍了准确的本地化.
- 代理节点可能不愿意为其他人的定位消耗能量.
研究的目的:
- 为资源有限的地下停车场开发一个合作本地化算法.
- 通过经济模型激励代理节点之间的合作.
- 为了优化功率分配,提高定位准确度.
主要方法:
- 提出了一个基于竞标拍卖的合作本地化 (BACL) 算法.
- 道参数和先前定位数据的量化贡献.
- 开发了一个虚拟货币激励规则,用于补偿能源消耗.
主要成果:
- 与FPCL (10%) 和NCL (65%) 相比,BACL算法显著提高了定位精度.
- 与FPCL相比,减少了50%的资源消耗.
- 在资源有限的场景中表现出色.
结论:
- 在具有挑战性的地下环境中,BACL算法有效地提高了定位精度.
- 拟议的激励机制鼓励节点合作和高效的电力分配.
- 巴克提供了一个可行的解决方案,用于准确和资源高效地定位地下停车场.
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