scholarly journals Distributed Channel Allocation and Time Slot Optimization for Green Internet of Things

Sensors ◽  
2017 ◽  
Vol 17 (11) ◽  
pp. 2479 ◽  
Author(s):  
Kaiqi Ding ◽  
Haitao Zhao ◽  
Xiping Hu ◽  
Jibo Wei
Keyword(s):  
Internet Of Things ◽  
Time Slot ◽  
Channel Allocation ◽  
Distributed Channel Allocation

A Simple Distributed Channel Allocation Algorithm for D2D Communication Pairs

2018 ◽  
Vol 67 (11) ◽  
pp. 10960-10969 ◽  
Author(s):  
Haitao Zhao ◽  
Kaiqi Ding ◽  
Nurul I Sarkar ◽  
Jibo Wei ◽  
Jun Xiong
Keyword(s):  
Channel Allocation ◽  
D2d Communication ◽  
Allocation Algorithm ◽  
Distributed Channel Allocation

A strategy for opportunistic cognitive channel allocation in wireless Internet of Things

2014 ◽  
Author(s):  
Roni F. Shigueta ◽  
Mauro Fonseca ◽  
Aline Carneiro Viana ◽  
Artur Ziviani ◽  
Anelise Munaretto
Keyword(s):  
Internet Of Things ◽  
Channel Allocation ◽  
Wireless Internet

APPLYING INTELLIGENT SOFTWARE AGENTS IN A DISTRIBUTED CHANNEL ALLOCATION SCHEME FOR CELLULAR NETWORKS

2002 ◽  
Vol 16 (08) ◽  
pp. 1021-1039
Author(s):  
ELIANE L. BODANESE ◽  
LAURIE G. CUTHBERT
Keyword(s):  
Mobile Communications ◽  
Intelligent Agents ◽  
Channel Allocation ◽  
Base Stations ◽  
Agent Negotiation ◽  
Intelligent Software ◽  
Intelligent Software Agents ◽  
Distributed Channel Allocation ◽  
Limited Spectrum

As the demand for mobile services has increased, the need for an efficient allocation of channels is essential to ensure good performance, given the limited spectrum available. Techniques for increasing flexibility in radio resource acquisition are needed to handle the heterogeneity of services and bit rates to be supported in the forthcoming generations of mobile communications. To improve the performance and efficiency of the channel allocation, we propose the use of a particular agent architecture that allows base stations to be more flexible and intelligent, including planning to attempt to balance the load in advance of reactive requests. The simulation results prove that the use of intelligent agents controlling the allocation of channels is feasible and the agent negotiation is an important feature of the system in order to improve perceived quality of service and to improve the load balancing of the traffic.

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