scholarly journals Wireless Network Design for Emerging IIoT Applications: Reference Framework and Use Cases

2019 ◽  
Vol 107 (6) ◽  
pp. 1166-1192 ◽  
Author(s):  
Yongkang Liu ◽  
Mohamed Kashef ◽  
Kang B. Lee ◽  
Lotfi Benmohamed ◽  
Richard Candell
Keyword(s):  
Network Design ◽  
Wireless Network ◽  
Use Cases ◽  
Reference Framework ◽  
Wireless Network Design

scholarly journals Data Driven Wireless Network Design: A Multi-level Modeling Approach

2016 ◽  
Vol 88 (1) ◽  
pp. 63-77
Author(s):  
Carolina Fortuna ◽  
Eli De Poorter ◽  
Primož Škraba ◽  
Ingrid Moerman
Keyword(s):  
Network Design ◽  
Wireless Network ◽  
Data Driven ◽  
Modeling Approach ◽  
Wireless Network Design ◽  
Multi Level

Optimal Energy-Delay Scheduling using Improved Beetle Antennae Search (BAS) for Energy-Harvesting WSNs

2021 ◽  
Author(s):  
Battina Srinuvasu Ku ◽  
S.G. Santhi ◽  
S. Narayana
Keyword(s):  
Energy Harvesting ◽  
Network Design ◽  
Wireless Network ◽  
Optimal Solution ◽  
Capacity Allocation ◽  
Approximation Technique ◽  
Time Interval ◽  
Optimal Energy ◽  
Wireless Network Design ◽  
Complex Optimization

Abstract Optimal energy delay scheduling for capacity allocation issues on interference chan- nel energy harvesting wireless sensor networks (EH-WSN) addresses for static data streams and energy topography. To create the optimizations issue of unique and multi-time interval corre- spondingly. The goal is for reducing overall regression of the network. Though, the optimization issue is not convex, creating it hard to get an optimal solution. The main objective of this manuscript is directly addressing the original non-convex formulation using the enhanced Beetle Antennae Search (BAS) algorithm that efficiently finds the optimal solution. This algorithm is also better for another complex optimization issues on wireless network design. The simulations under delay, delratio, drop, energy, network lifetime, overhead and throughput are carried; the expected outcome displays that improved BAS algorithm executes considerably better than the convex approximation technique. This idea is useful for other complex optimization issues on wireless network design.

scholarly journals Energy-Efficient Wireless Network Design

2003 ◽  
pp. 585-594 ◽  
Author(s):  
Ioannis Caragiannis ◽  
Christos Kaklamanis ◽  
Panagiotis Kanellopoulos
Keyword(s):  
Network Design ◽  
Wireless Network ◽  
Energy Efficient ◽  
Wireless Network Design
Sign in / Sign up

Export Citation Format

Share Document