Efficient data retrieval in faulty sensor networks using a mobile mule

Harel Yedidsion, Aritra Banik, Paz Carmi, M. J. Katz, M. Segal
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引用次数: 3

Abstract

In this paper, we study the problem of data gathering in ad-hoc sensor networks using a mobile entity called mule. The mule traverses the children of failed sensors, to prevent loss of data. Our objective is to define the optimal communication tree and the mule's placement such that the mule's overall traveling distance is minimized. We explore this problem in several network topologies including: unit disc graph on a line (UDL), general unit disc graph (UDG), and a complete graph with failing probabilities on the nodes (CGFP). We provide an optimal solution for the UDL problem and two approximation algorithms for the UDG problem. For the CGFP problem we outline the two possible structures of an optimal solution and provide near optimal approximation algorithms.
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基于移动骡子的故障传感器网络的高效数据检索
在本文中,我们研究了在自组织传感器网络中使用移动实体骡子进行数据采集的问题。骡子遍历故障传感器的子节点,以防止数据丢失。我们的目标是定义最优的通信树和骡子的位置,使骡子的总旅行距离最小。我们在几种网络拓扑中探讨了这个问题,包括:直线上的单元圆盘图(UDL)、一般单元圆盘图(UDG)和节点上具有失效概率的完全图(CGFP)。给出了UDL问题的最优解和UDG问题的两种近似算法。对于CGFP问题,我们概述了最优解的两种可能结构,并提供了近最优逼近算法。
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Keynote speaker Keynote speaker Ad-Hoc, Mobile, and Wireless Networks: 19th International Conference on Ad-Hoc Networks and Wireless, ADHOC-NOW 2020, Bari, Italy, October 19–21, 2020, Proceedings Retraction Note to: Mobility Aided Context-Aware Forwarding Approach for Destination-Less OppNets Ad-Hoc, Mobile, and Wireless Networks: 18th International Conference on Ad-Hoc Networks and Wireless, ADHOC-NOW 2019, Luxembourg, Luxembourg, October 1–3, 2019, Proceedings
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