The new revolution in computing and wireless communications technologies led to Internet of Things (IoT). Information collection scheme performs an important role for energy efficient utilization and latency awareness in IoT environments. The enhancement of an effectual information collection scheme is crucial to improve the overall performance of the internet of things applications. In this paper, the proposed information collection scheme aimed to enhance the confidence regarding any captured measurements under IoT environment. The scheme can verify the selection of optimal information collection routes through using the Dijkstra algorithm. It depends on selecting the preferable IoT devices (collectors) with optimal paths in efficient energy utilization. The IoT devices (sources) have to elect whichever a preferable collector can deliver the captured information with an endeavour to sense the latest contextual information. They elect the optimal collectors through implicit and explicit solutions. Also, it considers different failure conditions to specify the optimal collection time for furtherance scalability of IoT environment. The simulation results show the ability of our scheme to improve the performance in terms of network lifetime, energy consumption, and reliability.

计算和无线通信技术的新革命催生了物联网（IoT）。信息收集方案对于物联网环境中的能源利用效率和延迟感知起着重要作用。有效信息收集方案的增强对于提高物联网应用程序的整体性能至关重要。在本文中，提出的信息收集方案旨在增强对物联网环境下任何捕获的测量的信心。该方案可以通过使用Dijkstra算法来验证最佳信息收集路径的选择。这取决于选择具有最佳路径的首选物联网设备（收集器），以实现有效的能源利用。物联网设备（源）必须选择一个首选的收集器来传递捕获的信息，并尽力感知最新的上下文信息。他们通过隐式和显式解决方案选出最佳收集器。此外，它考虑了不同的故障条件以指定最佳的收集时间，以进一步推动物联网环境的可扩展性。仿真结果表明，我们的方案能够在网络寿命，能耗和可靠性方面提高性能。