The recently proposed Software-Defined Metamaterial (SDM) paradigm is envisioned to be one of the most beneficiaries of the Internet of NanoThings (IoNT). Given the unprecedented applications in the fields of smart materials and smart textiles supported by SDMs. However, the key-enabler of these applications is still in infancy, which is the design of efficient data communication schemes for dense and resource-constrained nanonetworks. To this end, the present study proposes three communication schemes that consider the three modes of communication in SDM applications (i.e., peer-to-peer, upward and downward communications). The proposed schemes efficiently exploit the well-defined pattern formed by the self-classified forwarders based on their packet reception statistics to route data in arc and line segment paths. To further enhance the energy efficiency, the proposed schemes jointly apply dynamic adjusted counter-based and probabilistic flooding techniques to achieve a reasonable degree of path multiplicity. The results of extensive simulations over various performance scenarios using nano-sim tool on NS-3 show the advantages of the proposed schemes over related works in terms of communication reliability, energy consumption and communication latency.

可以预见，最近提出的软件定义超材料（SDM）范例将成为NanoThings（IoNT）互联网的最受益者之一。鉴于SDM支持的智能材料和智能纺织品领域的空前应用。但是，这些应用程序的关键要素仍处于起步阶段，这是针对密集且资源受限的纳米网络的有效数据通信方案的设计。为此，本研究提出了三种通信方案，其中考虑了SDM应用程序中的三种通信模式（即对等，向上和向下通信）。所提出的方案有效地利用了自分类转发器基于其分组接收统计信息形成的良好定义的模式，以在弧段和线段路径中路由数据。为了进一步提高能源效率，提出的方案联合应用了动态调整的基于计数器的和概率泛洪技术，以实现合理程度的路径多样性。使用NS-3上的nano-sim工具在各种性能场景下进行广泛仿真的结果表明，在通信可靠性，能耗和通信等待时间方面，该方案相对于相关工作具有优势。