Department of Liberal Arts, Seoul Theological University, Bucheon 14754, Korea.
Department of Electrical Engineering, Incheon National University, Incheon 22012, Korea.
Sensors (Basel). 2019 Apr 1;19(7):1567. doi: 10.3390/s19071567.
Recent advances in big data technology collecting and analyzing large amounts of valuable data have attracted a lot of attention. When the information in non-reachable areas is required, IoT wireless sensor network technologies have to be applied. Sensors fundamentally have energy limitations, and it is almost impossible to replace energy-depleted sensors that have been deployed in an inaccessible region. Therefore, moving healthy sensors into the sensing hole will recover the faulty sensor area. In rough surfaces, hopping sensors would be more appropriate than wheel-driven mobile sensors. Sensor relocation algorithms to recover sensing holes have been researched variously in the past. However, the majority of studies to date have been inadequate in reality, since they are nothing but theoretical studies which assume that all the topology in the network is known and then computes the shortest path based on the nonrealistic backing up knowledge-The topology information. In this paper, we first propose a distributed hopping sensor relocation protocol. The possibility of movement of the hopping sensor is also considered to recover sensing holes and is not limited to applying the shortest path strategy. Finally, a performance analysis using OMNeT++ has demonstrated the solidification of the excellence of the proposed protocol.
近年来，大数据技术在收集和分析大量有价值数据方面的进展引起了广泛关注。当需要非可达区域的信息时，必须应用物联网无线传感器网络技术。传感器从根本上具有能量限制，几乎不可能替换已经部署在不可达区域的能量耗尽的传感器。因此，将健康的传感器移动到感测孔中可以恢复故障传感器区域。在粗糙表面上，跳跃传感器比轮式移动传感器更合适。过去已经研究了各种用于恢复感测孔的传感器重新定位算法。然而，迄今为止，大多数研究在现实中都是不足的，因为它们只不过是理论研究，这些理论研究假设网络中的所有拓扑结构都是已知的，然后根据不切实际的备份知识（拓扑信息）计算最短路径。在本文中，我们首先提出了一种分布式跳跃传感器重新定位协议。还考虑了跳跃传感器的移动可能性，以恢复感测孔，而不限于应用最短路径策略。最后，使用 OMNeT++ 进行的性能分析证明了所提出协议的卓越性。
