Algorithm for Energy Resource Allocation and Sensor-Based Clustering in M2M Communication Systems

Recent years have seen a surge in curiosity machine-to-machine (M2M) collaborations between academics and industry. Machine-to-machine communication devices (MTCDs) are able to communicate automatically with minimum human intervention an M2M communications infrastructure. While MTCDs anticipated deliver range of services, resource allocation clustering approaches transceivers face issues limits due the diverse quality service (QoS) needs various network conditions. A major issue systems is how distribute cluster resources. This article presents technique collaborative for MTCD management. The integrated challenge characteristic as maximization energy efficiency problem. As consequence original optimization model’s inability tackle nonlinear fractional utilizations, we separate into two subproblems: power redistribution cluster. We begin by obtaining optimal distribution plan through iterative algorithm then offer modified K -means clustering. effectiveness proposed approach shown numerical solution.