scholarly journals A Greedy Optimization Algorithm Based on QoS in UAV Cluster Network

2018 ◽  
Author(s):  
Wei Fu ◽  
Xinli Zhou
Keyword(s):  
Optimization Algorithm ◽  
Cluster Network ◽  
Greedy Optimization

scholarly journals Enhanced Greedy Optimization Algorithm with Data Warehousing for Automated Nurse Scheduling System

2012 ◽  
Vol 01 (04) ◽  
pp. 43-48 ◽  
Author(s):  
R. M. Kapila Taranga Ratnayaka ◽  
Zhong-Jun Wang ◽  
Satish Anamalamudi ◽  
Siyue Cheng
Keyword(s):  
Optimization Algorithm ◽  
Data Warehousing ◽  
Nurse Scheduling ◽  
Scheduling System ◽  
Greedy Optimization

Research on Relay Node Placement Based on Hybrid Greedy Optimization Algorithm in Wireless Sensor Networks

2014 ◽  
Vol 644-650 ◽  
pp. 3028-3031
Author(s):  
Hui Xu ◽  
Hang Zhang
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Optimization Algorithm ◽  
Hybrid Algorithm ◽  
Relay Node ◽  
Wireless Sensor ◽  
Test Results ◽  
Relay Node Placement ◽  
Node Placement ◽  
Greedy Optimization

In this paper, we propose a hybrid greedy optimization algorithm for (WSN, wireless sensor networks) and then design the relay node layout system. The test results demonstrate that the hybrid algorithm greatly reduces the number of nodes required to avoid wasting too much unnecessary relay node.

Research on Fault-Tolerant Relay Node Placement Based on Greedy Optimization Algorithm in Wireless Sensor Networks

2011 ◽  
Vol 204-210 ◽  
pp. 1000-1004
Author(s):  
Zhu Wang ◽  
Qi Wang ◽  
De Bao Wei
Keyword(s):  
Optimization Algorithm ◽  
Fault Tolerant ◽  
Relay Node ◽  
Relay Node Placement ◽  
Relay Nodes ◽  
Evaluation Standard ◽  
Node Placement ◽  
Communication Capacity ◽  
Placement Algorithm ◽  
Greedy Optimization

In this paper, relay node’s communication capacity was introduced into the existing model of relay node placement. And we presented a new evaluation standard based on the minimum distance factor of communication network. A new relay node placement algorithm was implemented in solutions, and the algorithm was based on greedy optimization algorithm. The simulation result demonstrates that the algorithm can limit the communication capacity of relay nodes conveniently. Compared with other placement algorithms, improvement of energy-efficiencies in this algorithm is obvious.

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