Machine to Machine Measurement (M3) Framework for Web of Things

Web of Things (WoT) is one among the prominent research today. Due to sudden growth it has a massive reach amongst global tech communities. Recently few challenges limits the expansion of WoT such as data interoperability, data
interpretation spawned by WoT devices and prompt solutions for this issues supports developers in accomplishing their tasks. Due to present advancement on standards to address this challenges among organizations we can attain solutions through one M2M based design with semantic WoT architecture. The current release one M2M standard has not obtained any solid tool or solution for semantic treatment of WoT data. Recently developed Machine to Machine Measurement (M3) framework supports semantic based WoT application developers to develop smart applications without massive challenges. Since the effectiveness and innovative aspects of M3
framework this research proposes for seamless integration it with one M2M architecture. Machine to machine integration in WoT is reinventing the manufacturing industry. They are giving birth to the smart intelligence enabling newfound levels of productivity and predictability.