Internet of Things has pervaded every area of modern life. From a research and industry standpoint, there has been an increasing demand and desire in recent years to develop Internet of Things networks with distributed structure. Wireless communication under emergency circumstances is one of the important applications that distributed Internet of Things can have. In order for a network to be functional in this scenario, it must be developed without the aid of a pre-established or centralized structure and operated in a self-organized manner to accommodate the communication requirements of the time. Although the design and development of such networks can be highly advantageous, they frequently confront difficulties, the most significant of which is attaining and maintaining effective connectivity to have reliable communications despite the requirement to optimize energy usage. In this study, we present a model for self-organizing topology control for ad hoc-based Internet of Things networks that can address the aforementioned challenges. The model that will be presented employs the notion of the Hamiltonian function in classical mechanics and has two key objectives: regulating the network's topology and dynamics to enhance connectivity to a desirable level while requiring the least amount of energy possible. The results of the simulation indicate that the proposed model satisfactorily fulfills the goals of the problem.

翻译：物联网已渗透至现代生活的各个领域。从研究与产业视角来看，近年来对构建分布式结构物联网网络的需求与期望日益增长。紧急情况下的无线通信是分布式物联网的重要应用场景之一。为使网络在此类场景中具备功能性，需在不依赖预建立或中心化结构的前提下进行开发，并以自组织方式运行以满足实时通信需求。尽管此类网络的设计与开发极具优势，但仍面临诸多挑战，其中最关键的问题在于：如何在优化能耗的同时，实现并维持有效连通性以保障可靠通信。本研究提出一种适用于基于自组网的物联网网络的自组织拓扑控制模型，可应对上述挑战。该模型借鉴经典力学中的哈密顿函数概念，具有两大核心目标：在尽可能降低能耗的前提下，将网络拓扑与动态调控至所需连通性水平。仿真结果表明，所提模型能够较好地满足问题目标。