Addressing and flood-based communications for the software-defined metamaterial paradigm

Abstract

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.