A Comparative Effectiveness Evaluation of Map Construction Protocols in Wireless Sensor Networks
A Comparative Effectiveness Evaluation of Map Construction Protocols in Wireless Sensor Networks
复制标题
DOI：
10.1109/jsyst.2012.2228127
复制
发表时间：
2014-09
影响因子：
4.4
通讯作者：
Abdelmajid Khelil
中科院分区：
文献类型：
--
作者：
Abdelmajid Khelil
无线传感器网络（WSN）中的多种应用要求节点级精度。这些应用的一个流行的例子是基于地图的实时空间传感器数据的可视化。具体的WSN属性，如能源意味着数据收集和/或网络内的地图建设应仔细解决能源/网络开销和地图准确性之间的权衡。因此，已经提出了几种地图构建方法。在相应的论文中，对于一组精心选择的参数，已经证明了减少网络流量开销的能量效率。到目前为止，还没有定量的比较研究，考虑了广泛的物理现象和网络特性，提供一个全面的评价这些地图的建设方法。在本文中，我们提出了一系列的协议效率评估标准，然后使用现有的地图构建方法的比较有效性进行评估，通过分析他们的设计和模拟他们的性能在广泛的环境场景和网络设置。使用广泛的模拟，我们确定的地图构建方法优于其他最常见的应用场景。我们的主要成就是对现有方法的详细见解和改进现有方法的建议。
Multiple applications in wireless sensor networks (WSN) require node-level accuracy. One popular example of these applications is the map-based visualization of live spatial sensor data. The specific WSN properties such as energy imply that the data collection and/or the in-network map construction should carefully address the tradeoff between energy/network overhead and map accuracy. Accordingly, several map construction approaches have been proposed. The energy efficiency of reducing the network traffic overhead has been proved in the corresponding papers for a set of carefully selected parameters. To date, there exists no quantitative comparative study that considers a wide range of physical phenomena and network properties to provide a comprehensive evaluation of these map construction approaches. In this paper, we present a series of protocol efficiency evaluation criteria that are then used to evaluate the comparative effectiveness of the existing map construction approaches by analyzing their design and simulating their performance in a wide range of environment scenarios and network settings. Using extensive simulations, we identify which map construction approach outperforms the other for most common application scenarios. Our main achievements are detailed insights of the existing approaches and proposals for improving existing approaches.