Urdiales Cristina, Aguilera Francisco, González-Parada Eva, Cano-García Jose, Sandoval Francisco
Departamento de Tecnologia Electronica, ETSI Telecomunicacion, Campus de Teatinos s/n, University of Malaga, Malaga 29010, Spain.
Sensors (Basel). 2016 Jul 7;16(7):1047. doi: 10.3390/s16071047.
In mobile wireless sensor networks (MWSN), nodes are allowed to move autonomously for deployment. This process is meant: (i) to achieve good coverage; and (ii) to distribute the communication load as homogeneously as possible. Rather than optimizing deployment, reactive algorithms are based on a set of rules or behaviors, so nodes can determine when to move. This paper presents an experimental evaluation of both reactive deployment approaches: rule-based and behavior-based ones. Specifically, we compare a backbone dispersion algorithm with a social potential fields algorithm. Most tests are done under simulation for a large number of nodes in environments with and without obstacles. Results are validated using a small robot network in the real world. Our results show that behavior-based deployment tends to provide better coverage and communication balance, especially for a large number of nodes in areas with obstacles.
在移动无线传感器网络（MWSN）中，节点可以自主移动以进行部署。这个过程旨在：（i）实现良好的覆盖；（ii）尽可能均匀地分布通信负载。与优化部署不同，反应式算法基于一组规则或行为，因此节点可以确定何时移动。本文对两种反应式部署方法进行了实验评估：基于规则的方法和基于行为的方法。具体而言，我们将一种骨干分散算法与一种社会势场算法进行了比较。大多数测试是在有障碍物和无障碍物环境中对大量节点进行模拟的情况下完成的。结果在现实世界中使用小型机器人网络进行了验证。我们的结果表明，基于行为的部署往往能提供更好的覆盖和通信平衡，特别是对于有障碍物区域中的大量节点。
