Congestion Control based on Geographic Routing Algorithm for Wireless Sensor Networks

Author(s):  
Lin Tang ◽  
Quansheng Guan ◽  
Shengming Jiang
2019 ◽  
Vol 26 (1) ◽  
pp. 507-519
Author(s):  
Parham Hadikhani ◽  
Mohammadreza Eslaminejad ◽  
Meysam Yari ◽  
Elmira Ashoor Mahani

2015 ◽  
Vol 764-765 ◽  
pp. 838-842
Author(s):  
Young Long Chen ◽  
Yung Chi Chang ◽  
Yu Ling Zeng

Wireless sensor networks (WSNs) are a group of wireless sensor nodes, those sensor nodes with sensing and monitoring of environmental information. Energy consumption is an important topic; the node's power is limited. Therefore, we proposed an Opportunistic Large Array Concentric Geographic Routing Algorithm (OLACGRA) to reduce the node’s energy consumption and analysis the characteristic of energy model. The sink position of our proposed OLACGRA is at the center of concentric topology architecture. The source node wants to transmit data that it needs to calculate the distance between source node and sink node. If this distance bigger than threshold value, we use the multi-hop manner. Otherwise, source node transmits data to sink node directly. Simulation results show that our proposed algorithm can effectively reduce the node’s energy consumption.


Algorithms ◽  
2021 ◽  
Vol 14 (7) ◽  
pp. 199
Author(s):  
Jiangyu Yan ◽  
Bing Qi

Congestion control is one of the key research topics in relation to the routing algorithms of wireless sensor networks (WSNs). In this paper, we propose a congestion-aware routing algorithm (CARA) for unlimited-lifetime wireless sensor networks by integrating the geographic distance and traffic load of sensor nodes. The algorithm takes alleviating congestion as the primary purpose and considers the traffic of the node itself and local network traffic. According to the geographic distance between nodes, CARA defines four decision parameters (node load factor, forward rate, cache remaining rate, and forward average cache remaining rate), selecting the best node as the next-hop through the multi-attribute decision-making method. Compared with the two existing algorithms for congestion control, our simulation results suggest that the CARA algorithm alleviates network congestion and meets reasonable network delay and energy consumption requirements.


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