In futuristic wireless communications, a massive number of devices need to access networks
with diverse quality of service (QoS) requirements. It is estimated that the number of …

In this paper, we investigate energy-efficient clustering and medium access control for
cellular-based machine-to-machine (M2M) networks to minimize device energy …

Network lifetime (NL) maximization techniques have attracted a lot of research attention
owing to their importance for extending the duration of the operations in the battery …

High energy efficiency is critical for enabling massive machine-type communications (MTC)
over cellular networks. This paper is devoted to energy consumption modeling, battery …

Currently, there is a plethora of low-power wide-area IoT networking solutions available,
each targeting a specific niche of use-cases and deployment scenarios. Existing studies on …

M2M communication in the LTE network is gaining attention with a growing number of
connected devices and adaptation of new emerging technologies. Usually, the traffic …

We present an approach to schedule Long Term Evolution (LTE) uplink (UL) Machine-to-
Machine (M2M) traffic in a densely deployed heterogeneous network, over the street lights of …

Providing energy-efficient Internet of Things (IoT) connectivity has attracted significant
attention in fifth-generation (5G) wireless networks and beyond. A potential solution for …

In this paper the scheduling and transmit power control are investigated to minimize the
energy consumption for battery-driven devices deployed in LTE networks. To enable …

In this paper, energy-efficient scheduling and grouping for battery-driven machine-type
devices in cellular networks is investigated. We introduce a scheduling-based cooperation …