Online ISSN: 2515-8260

Keywords : energy consumption

Energy-Aware-AODV: Optimized Route Selection Process based on Ant Colony Optimization – Bacterial Foraging Algorithm (ACO-BFA)

K.Divya, Dr. B. Srinivasan

European Journal of Molecular & Clinical Medicine, 2021, Volume 8, Issue 3, Pages 3938-3950

Mobile ad-hoc network (MANET) is an emerging domain among the
researchers, which is an ensemble scheme of numerous mobile nodes and it works
without any base station. In ad hoc networks, usage of energy is the main issue, and
the energy level of the node is not considered by Ad-hoc On-demand Distance Vector
(AODV) during the route discovery phase. The node with minimum energy in the
transmission area will fail transmission and packet dropping. The link failure reinitiates
the route request (RREQ) and consumption of energy also high. To enhance
this issue, an optimized routing strategy is introduced by the Ant Colony Optimization
with Bacterial Foraging Algorithm (ACO-BFA) for AODV. The routing process is
initiated by ACO and a high probability routing path is assigned to bacteria. The
routing is enhanced by the ACO-BFA technique and the simulation analysis shows
that the proposed technique outperforms the existing state-of-art AODV routing

Dynamic Transmission Range with Respect to the Power Consumption

J. Madhusudan; Somnath Sinha

European Journal of Molecular & Clinical Medicine, 2020, Volume 7, Issue 2, Pages 5090-5098

This article looks at the impact of transmitting capacity on mobile ad hoc network efficiency (MANET)). The purpose of this study is to determine whether the life of the network can be extended by using less energy, thus obtaining a more energy-efficient 'green' architecture. A total of 72 separate simulations with various configurations representing a range of potential scenarios were performed: we analysed configurations of specific node numbers, amount of traffic flows, mobility models, transmission capacity and geographic region. The results show that there is the best transmission power that can improve the performance of the network: this optimal transmission setting also makes the network more energy-efficient in terms of the limited energy exhaustion of the node. Our overall findings also suggest that higher power transmission will common energy consumption.

Smart Energy Management in Green Buildings

Akhil Nigam; Kamal Kant Sharma

European Journal of Molecular & Clinical Medicine, 2020, Volume 7, Issue 7, Pages 4627-4637

With the increasing size of supply and demand growth in the next decades there will be
need of smarter distribution system. The installation of large number of electric power
generation units may have adverse impact on environment. So smart energy management
system is one of the best and novel approaches which enables smart grid operations.
During the installation and incorporation of smart grids there are some factors like
consumption of electric energy, energy storage, and generation resources should be
optimized in such a manner that saves energy, improves efficiency, maintains security and
enhances reliability during increasing demand at minimum operating cost. Some of the
renewable energy sources may be taken as the pillars for making smart energy buildings
which reduces the cost of building systems. From the point of distributed generation it may
be considered as future power generation by the installation of renewable energy systems
and storage systems. It will lead into smart energy buildings which will be in the form of
Off-grid/Hybrid/Grid tied based solar system. Due to the development of smart techniques
like fuzzy systems and artificial neural network system it is helpful to reduce billing cost of
energy building systems. Green house gas emission is also a serious concern during the
installation of energy buildings so hydro or wind energy systems are fully weather
dependent and they can reach up to only 14% generation of electricity due to intermittent
sources in nature. To overcome the problem of more energy demand and gas emission a
new method proposed such as smart system services for the improvement of building
performance. This paper deals with advanced techniques for smart home energy
management system in order to control its operations in reliable, secure and economical