Swarm Robot System for Underwater Communication Network

2014 ◽  
Vol 18 (5) ◽  
pp. 769-775 ◽  
Author(s):  
Ryan Rhay P. Vicerra ◽  
◽  
Elmer P. Dadios ◽  
Argel A. Bandala ◽  
Laurence A. Gan Lim
Keyword(s):  
Communication Network ◽  
Wireless Communication ◽  
Social Insects ◽  
Collective Behavior ◽  
Underwater Communication ◽  
Robot System ◽  
Wireless Communication Network ◽  
Underwater Environment ◽  
Swarm Robot ◽  
Underwater Wireless Communication

This paper presents a swarm robot simulator for implementing underwater wireless communication network. Swarm intelligence is based on the collective behavior of social insects and animals such as ants, bees and others. In this paper, swarm was applied to overcome the challenges of transmitting data in a large underwater environment. A robot considered to be a member of the swarm acts as a simple “physical” carrier of the data, it moves until they converge and manage to form a link connecting the data transmitter and receiver. The system is developed, simulated and tested using a coded simulator.

Slime Mold Inspired Swarm Robot System for Underwater Wireless Data Communication

2016 ◽  
Vol 20 (1) ◽  
pp. 92-99 ◽  
Author(s):  
Ryan Rhay P. Vicerra ◽  
◽  
Elmer P. Dadios
Keyword(s):  
Wireless Communication ◽  
Communication Systems ◽  
Sound Propagation ◽  
Data Communication ◽  
Signal Propagation ◽  
Slime Mold ◽  
Robot System ◽  
Robot Swarm ◽  
Swarm Robot ◽  
Underwater Wireless Communication

Swarm robotics is a collection of mobile robots that displays swarm behavior. This paper presents a simulator of slime mold amoeba inspired swarm robot for underwater wireless communication system. The slime mold inspired robotic swarm is used to overcome the challenges of transmitting data in a large underwater environment. Underwater communication systems today are primarily acoustic technology and characterized by limited and distance dependent bandwidth, presence of multipath, and low speed of sound propagation. The robots navigate and seek the shortest path creating a virtual connection between the data transmitter and receiver similar to the foraging behavior of swarms. Each individual robot going back and forth from the transmitter to the receiver and vice-versa acts as a “physical” carrier of the data. Swarm robots navigate using swarm level intelligence based on the signal propagation technique used by slime mold amoeba aggregation using acoustics communication. The robot swarm system is developed, simulated and tested using the coded simulator. Using the slime mold inspired swarm robot system; the simulation successfully performed the data “foraging” scenario and showed the ability of the swarm to provide a virtual link in an underwater wireless communication network.

scholarly journals Handover in a mobile wireless communication network –A Review Phase

2019 ◽  
Vol 1 (1) ◽  
pp. 6-13
Author(s):  
Rebin Abdullah Saeed
Keyword(s):  
Communication Network ◽  
Wireless Communication ◽  
Mobile Communication ◽  
Signal Quality ◽  
Radio Network ◽  
Current Channel ◽  
Mobile Wireless ◽  
Wireless Communication Network

Mobility is the features of mobile communication that makes it desirable by all and varied. The whole world is now attractive in wireless communication as it provides users' ability to communicate on-the-go. IT is accomplished by transferring users from a radio network to another. This process is called handover. Handover occurs by adjusting the duration of soft handovers, the size of the areas and either by cell crossing or by deterioration in the signal quality of the current channel — the brief overview of handover, Handover in WiMAX and LTE, types of handover, handover types solutions, usually used handover parameters, some methods employed in the literature and I contemporary the convergent fact for continuance in the area of mobile wireless communication Handover.

Sign in / Sign up

Export Citation Format

Share Document