Department of Information Technology, SRM Institute of Science and Technology, Chengalpattu 603203, Tamil Nadu, India.
ITMO University, 197101 St. Petersburg, Russia.
Sensors (Basel). 2021 Jul 4;21(13):4591. doi: 10.3390/s21134591.
Forest fire monitoring is very much needed for protecting the forest from any kind of disaster or anomaly leading to the destruction of the forest. Now, with the advent of Internet of Things (IoT), a good amount of research has been done on energy consumption, coverage, and other issues. These works did not focus on forest fire management. The IoT-enabled environment is made up of low power lossy networks (LLNs). For improving the performance of routing protocol in forest fire management, energy-efficient routing protocol for low power lossy networks (E-RPL) was developed where residual power was used as an objective function towards calculating the rank of the parent node to form the destination-oriented directed acyclic graph (DODAG). The challenge in E-RPL is the scalability of the network resulting in a long end-to-end delay and less packet delivery. Additionally, the energy of sensor nodes increased with different transmission range. So, for obviating the above-mentioned drawbacks in E-RPL, compressed data aggregation and energy-based RPL routing (CAA-ERPL) is proposed. The CAA-ERPL is compared with E-RPL, and the performance is analyzed resulting in reduced packet transfer delay, less energy consumption, and increased packet delivery ratio for 10, 20, 30, 40, and 50 nodes. This has been evaluated using a Contiki Cooja simulator.
森林火灾监测对于保护森林免受任何导致森林破坏的灾害或异常非常重要。现在，随着物联网 (IoT) 的出现，已经对能源消耗、覆盖范围等问题进行了大量研究。这些工作并没有专注于森林火灾管理。物联网环境由低功耗有损网络 (LLNs) 组成。为了提高路由协议在森林火灾管理中的性能，开发了用于低功耗有损网络的节能路由协议 (E-RPL)，其中剩余电量被用作计算父节点等级以形成面向目标的有向无环图 (DODAG) 的目标函数。E-RPL 的挑战是网络的可扩展性，导致端到端延迟较长，数据包传输较少。此外，传感器节点的能量随不同的传输范围而增加。因此，为了避免 E-RPL 中的上述缺点，提出了基于压缩数据聚合和能量的 RPL 路由 (CAA-ERPL)。将 CAA-ERPL 与 E-RPL 进行比较，并对性能进行分析，结果表明在 10、20、30、40 和 50 个节点时，减少了数据包传输延迟、减少了能量消耗并提高了数据包传输率。这是使用 Contiki Cooja 模拟器进行评估的。
