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首页> 外文期刊>Future generation computer systems >Auction-based adaptive sensor activation algorithm for target tracking in wireless sensor networks
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Auction-based adaptive sensor activation algorithm for target tracking in wireless sensor networks

机译：基于拍卖的自适应传感器激活算法，用于无线传感器网络中的目标跟踪

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摘要

Due to the severe resource constraints in wireless sensor networks (WSNs), designing an efficient target tracking algorithm for WSNs in terms of energy efficiency and high tracking quality becomes a challenging issue. WSNs usually provide centralized information, e.g., the locations and directions of a target, choosing sensors around the target, etc. However, some ready strategies may not be used directly because of high communication costs to get the responses for tracking tasks from a central server and low quality of tracking. In this paper, we propose a fully distributed algorithm, an auction-based adaptive sensor activation algorithm (MSA), for target tracking in WSNs. Clusters are formed ahead of the target movements in an interesting way where the process of cluster formation is due to a predicted region (PR) and cluster members are chosen from the PR via an auction mechanism. On the basis of PR calculation, only the nodes in the PR are activated and the rest of the nodes remain in the sleeping state. To make a trade-off between energy efficiency and tracking quality, the radius of PR and the number of nodes are adaptively adjusted according to current tracking quality. Instead of fixed interval (usually used in existing work), tracking interval is also dynamically adapted. Extensive simulation results, compared to existing work, show that AASA achieves high performance in terms of quality of tracking, energy efficiency, and network lifetime.
机译：由于无线传感器网络（WSN）中严重的资源限制，从能量效率和高跟踪质量的角度出发，为WSN设计高效的目标跟踪算法成为一个具有挑战性的问题。 WSN通常提供集中的信息，例如目标的位置和方向，在目标周围选择传感器等。但是，由于通信成本高昂，无法从中央服务器获取响应，因此某些直接使用的策略可能无法直接使用且跟踪质量较低。在本文中，我们提出了一种完全分布式的算法，一种基于拍卖的自适应传感器激活算法（MSA），用于WSN中的目标跟踪。在目标运动之前以一种有趣的方式形成集群，其中集群形成的过程是由于预测区域（PR）造成的，并且通过拍卖机制从PR中选择了集群成员。根据PR计算，仅激活PR中的节点，其余节点保持睡眠状态。为了在能量效率和跟踪质量之间进行权衡，根据当前跟踪质量自适应调整PR的半径和节点数。代替固定间隔（通常在现有工作中使用），还可以动态调整跟踪间隔。与现有工作相比，大量的仿真结果表明，AASA在跟踪质量，能效和网络寿命方面均达到了高性能。

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  • 来源
    《Future generation computer systems》 |2014年第10期|88-99|共12页
  • 作者

    Jin Zheng; Md Zakirul Alam Bhuiyan; Shaohua Liang; Xiaofei Xing; Guojun Wang;

  • 作者单位

    School of Information Science and Engineering, Central South University, Changsha, Hunan Province, 410083, PR China;

    School of Information Science and Engineering, Central South University, Changsha, Hunan Province, 410083, PR China;

    School of Information Science and Engineering, Central South University, Changsha, Hunan Province, 410083, PR China;

    School of Computer Science and Educational Software, Guangzhou University, Guangzhou, Guangdong Province, 510006, PR China;

    School of Information Science and Engineering, Central South University, Changsha, Hunan Province, 410083, PR China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Wireless sensor networks; Target tracking; Energy efficiency; Auction mechanism; Adaptive sensor activation;

    机译：无线传感器网络;目标跟踪;能源效率;拍卖机制;自适应传感器激活;

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