MANER: LoRa物联网野生动物监测系统(WMS)的管理数据传播方案

E. D. Ayele, N. Meratnia, P. Havinga
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引用次数: 8

摘要

本文介绍了基于双无线电的野生动物监测系统(WMS)物联网网络架构。该解决方案将有助于部署物联网设备,用于可持续的野生动物监测应用。此外,我们提出了MANER,一种用于WMS的管理数据传播方案。在MANER中,数据转发通过复制功能进行优化,以控制和优先考虑数据的传播。在WMS场景中,野生动物表现出稀疏的非特异性移动性,这通常导致节点之间的零星无线链路。与现有的机会主义算法不同,MANER通过利用本地可用信息来最佳地做出转发决策。因此,由于移动兽群之间固有的间歇性连接,该算法采用了动态网络拓扑。我们通过考虑标准和现实生活中的移动模型来评估MANER的性能。实验结果表明,与基准机会算法相比,MANER将平均延迟降低了65%。此外,MANER很容易提高各种数据流量速率下的网络传输比。
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MANER: Managed Data Dissemination Scheme for LoRa IoT Enabled Wildlife Monitoring System (WMS)
In this paper, we introduce dual radio based IoT network architecture for wildlife monitoring system (WMS). This solution will facilitate an IoT devices to be deployed for sustainable wildlife monitoring applications. In addition we present MANER, a managed data dissemination scheme for WMS. In MANER, data forwarding is optimized with a replication function to control and prioritize data dissemination. In WMS scenario wild animals show a sparsely con- specific mobility, which often results in a sporadic wireless link among nodes. Unlike existing opportunistic algorithms, MANER optimally makes forwarding decisions by leveraging locally available information. Hence, the proposed algorithm adopts to dynamic network topology due to the inherent intermittent connectivity among mobile herd of animals. We evaluated the performance of MANER by considering standard and real-life mobility models. Experimental results indicated that MANER decreases the average latency by up-to 65\%, when compared to benchmark opportunistic algorithms. In addition MANER readily increased the network delivery ratio for various data traffic rates.
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