Sink mobility schemes for data extraction in large scale WSNs under single or zero hop data forwarding

Leonidas Tzevelekas, I. Stavrakakis
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引用次数: 11

Abstract

A mobile sink is widely considered to facilitate the data collection from energy constrained sensor fields, by having the sink come close to the sensors and conserving precious sensor node energy. The effectiveness of such a data collection approach can be measured in terms of the sensor energy conserved and the time required to collect the sensor data from the field (or, equivalently, the length of the trajectory implemented by the mobile sink). In this paper we explore two important dimensions in the design of mobile sink-based data collection schemes. One dimension refers to how close to the sensor nodes the sink moves to, to collect the data, which impacts on the transmission energy expenditure by the sensor node. The other dimension refers to the way the sink moves through the sensor field, to collect the data, which impacts on the delay in collecting the data. To capture the first dimension, the 0-hop and 1-hop data collection schemes are considered and studied; at the same time, two ”extreme” approaches to the sink mobility process are considered: a (topology unaware) random walk-based sink mobility scheme and a (topology aware, optimal) deterministic sink mobility scheme. Through the analytic and simulative study presented in this paper, an understanding of the level of the trade-offs involved between the energy spent by the sensor nodes and the delay in completing the data collection process is obtained.
单跳或零跳数据转发下大规模WSNs数据提取的Sink迁移方案
移动接收器被广泛认为是为了方便从能量受限的传感器场收集数据,通过使接收器靠近传感器并节省宝贵的传感器节点能量。这种数据收集方法的有效性可以根据传感器所保存的能量和从现场收集传感器数据所需的时间来衡量(或者,等效地,移动接收器实现的轨迹长度)。在本文中,我们探讨了设计基于移动接收器的数据采集方案的两个重要方面。一维是指sink移动到距离传感器节点多近的位置收集数据,影响传感器节点的传输能量消耗。另一个维度是指sink通过传感器场来收集数据的方式,这对收集数据的延迟有影响。为了捕获第一个维度,考虑并研究了0跳和1跳数据采集方案;同时,考虑了两种“极端”的汇迁移过程方法:一种(拓扑不知情的)基于随机行走的汇迁移方案和一种(拓扑感知的,最优的)确定性汇迁移方案。通过本文的分析和模拟研究,了解了传感器节点消耗的能量与完成数据收集过程的延迟之间所涉及的权衡水平。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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