Abstract-In this paper, we investigate energy-efficient clustering and medium access control for cellular-based machineto-machine (M2M) networks to minimize device energy consumption and prolong network battery lifetime. First, we present an accurate energy consumption model that considers both static and dynamic energy consumptions, and utilize this model to derive the network lifetime. Second, we find the cluster size to maximize the network lifetime and develop an energy-efficient cluster-head selection scheme. Furthermore, we find feasible regions where clustering is beneficial in enhancing network lifetime. We further investigate communications protocols for both intra-and inter-cluster communications. While inter-cluster communications use conventional cellular access schemes, we develop an energy-efficient and load-adaptive multiple access scheme, called n-phase carrier sense multiple access with collision avoidance (CSMA/CA), which provides a tunable tradeoff between energy efficiency, delay, and spectral efficiency of the network. The simulation results show that the proposed clustering, clusterhead selection, and communications protocol design outperform the others in energy saving and significantly prolong the lifetimes of both individual nodes and the whole M2M network. Index Terms-Machine to machine communications, Internet of Things, MAC, energy efficiency, lifetime, delay.
An energy efficient and load adaptive MAC protocol for cellular-based M2M networks is proposed in REF .
$E^{2}$ -MAC: Energy Efficient Medium Access for Massive M2M Communications
IEEE Transactions on Communications
IEEE Transactions on Communications
Computer Science Mathematics