Wireless charging coupled with computation offloading in edge networks offers a promising solution for realizing power-hungry and intensive applications on user-devices. We consider multi-access computing (MEC) system collocated MEC server base-station/access point (AP), each equipped massive MIMO antenna array, supporting multiple users requesting data wireless charging. The goal is to minimiz...

The employment of multi-access edge computing (MEC) promotes the emergence novel computation-intensive and time-sensitive applications at network edge. Resource-limited devices can offload their tasks to servers, thereby avoiding heavy loads reducing energy consumption. However, servers are usually embedded in fixed access points (APs) or base stations (BSs) traditional MEC, which make it diffi...

In this paper, four routing protocols AODV (Adhoc On demand distance vector), ZRP (Zone routing protocol), DSR (Dynamic Source Routing), and DYMO (Dynamic Manet On Demand), are analyzed and compared by using QualNet simulator on the basis of performance metrics such as Throughput, Average End-to-End Delay, Average Jitter, Total Packets Received, Packet Delivery Ratio, Energy Consumption in tran...

This paper presents a novel unmanned aerial vehicle (UAV)-aided mobile edge computing (MEC) architecture for vehicular networks. It is considered that the vehicles should complete latency-critical computation-intensive tasks either locally with on-board computation units or by offloading part of their to road side (RSUs) collocated MEC servers. In this direction, hovering UAV can serve as an RS...

Cloud computing applies virtualization technology to integrate the existing software and hardware resources, uses the international network to offer all kinds of services for avoiding the energy consumption caused by the idle energy and reaching to the maximum resource utilization efficiency. Therefore, reducing energy consumption and operation cost without influencing the system efficiency is ...

Ahvaz can be regarded as one of the most polluted cities in the world in terms of air pollution. Successive years of drought and weather conditions in recent years have resulted in particulate matter (PM10) concentration in Ahvaz. In this study, using probability distribution techniques, an appropriate threshold to identify the PM10 maximum extreme concentrations (MEC) has been detected. Based ...

in recent years, the issue of energy consumption modeling techniques in the building sector has been widely considered by researchers and managers. researches indicate that energy consumption in residential sector is one of the main parts of the total consumption. moreover, the urban residence is supposed as a significant consumer of energy in every country and therefore a focus for energy cons...

We investigate network performance of ultra-dense heterogeneous networks (HetNets) and study the maximum energy-efficient base station (BS) deployment incorporating probabilistic non-line-ofsight (NLoS) and line-of-sight (LoS) transmissions. First, we develop an analytical framework with the maximum instantaneous received power (MIRP) and the maximum average received power (MARP) association sc...

Electrically stimulated skeletal muscle represents a potentially unlimited source of energy for the actuation of motor prostheses. Devices to harvest and deliver contractile power have proven mechanically feasible, but long-term efficacy has not been demonstrated. This report describes recent refinements in muscle energy converter (MEC) design and details the development of an implantable after...

Abstract Mobile edge computing (MEC) is considered to be a promising technique enhance the computation capability and reduce energy consumption of smart mobile devices (SMDs) in sixth-generation (6G) networks. With huge increase SMDs, many applications SMDs can interrupted due limited supply. Combining MEC harvesting (EH) help solve this issue, where computation-intensive tasks offloaded server...