Saravanan B

Department of Electrical Engineering

School of Electrical Engineering

Vellore Campus

Vasudevan E.R

Kothari D.P.

Vellore Institute of Technology (VIT) is a private university located in&nbsp;Tamil Nadu, India. Founded in 1984, as Vellore Engineering College, the institution offers 20 undergraduate, 34 postgraduate, four integrated and four research programs. It has campuses in Vellore, Amravati, Bhopal and Chennai.

VIT is one of the top ranked private universities in India according to NIRF, THE and QS Rankings.&nbsp;Govt. of India has recognized&nbsp;VIT, Vellore as an&nbsp;Institution of Eminence. This has allowed VIT to take independent quality initiatives and move up in world ranking.

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VIT University

International Journal of Electrical Power & Energy Systems

2019 Innovations in Power and Advanced Computing Technologies (i-PACT)

Solution to Unit Commitment Using Lagrange Relaxation with Whale Optimization Method

Journal of Energy Storage

Optimal size allocation of superconducting magnetic energy storage system based unit commitment

In the global scenario, a variety of wireless access networks are available. Different types of applications such as real time, nonreal time, and high bandwidth availability are used for heterogeneous wireless networks. Therefore, it is necessary for a service provider to make an appropriate connection support. For better performance, connections are to be exchanged among the different networks using seamless vertical handoff (VHO). The proposed algorithm shows the effect of optimization technique, which involves handoff decision process using vertical handoff triggering and selection of the network. The handoff triggering is initiated by using the received signal strength (RSS). In traditional method, handoff triggering is initiated by using RSS only. This method, modified weed optimization (M-WO) algorithm, reduces the unnecessary handoff by considering both RSS and velocity of the mobile node in handoff triggering. The parameters such as battery lifetime, handoff call dropping rate, load, dynamic weights adaptation and so on are to be considered individually or combined to make an effective network selection process. This paper highlights a novel effect ofM-WOalgorithm for decision making during the VHO. Our effort is to essentially optimize the system load, so that it reduces the handoff call dropping rate and the battery power consumption of the mobile node (MN). Weight of each QoS metrics is adjusted along with the networks changing conditions to trace the M-WO. Therefore, the novel VHO decision-making algorithm is superior to the existing SSF and OPTG methods. The simulation results show that the performance ofM-WOalgorithm is far better than SSF andOPTGmethods in terms of load, handoff call dropping rate and battery lifetime of MN.

Radioelectronics and Communications Systems

Seamless vertical handoff using modified weed optimization algorithm for heterogeneous wireless networks

A solution to unit commitment problem using fire works algorithm

2014 International Conference on Advances in Electrical Engineering (ICAEE)

Emission constrained unit commitment problem solution using invasive weed optimization Algorithm

2013 International Conference on Power, Energy and Control (ICPEC)

A solution to unit commitment problem using Invasive Weed Optimization algorithm

IEEE Transactions on Power Systems

Tight and Compact MILP Formulation for the Thermal Unit Commitment Problem

A novel method for maintenance scheduling of generating units considering the demand side

Economic load dispatch using θ-PSO

Resolution of the unit commitment problems by using the hybrid Taguchi-ant colony system algorithm

Unit commitment problem solution using invasive weed optimization algorithm

Journal	Data powered by TypesetInternational Journal of Electrical Power & Energy Systems
Publisher	Data powered by TypesetElsevier BV
ISSN	0142-0615
Open Access	0