scholarly journals Optimal Power Control in Green Wireless Sensor Networks With Wireless Energy Harvesting, Wake-Up Radio and Transmission Control

IEEE Access ◽  
2017 ◽  
Vol 5 ◽  
pp. 501-518 ◽  
Author(s):  
Chinmaya Mahapatra ◽  
Zhengguo Sheng ◽  
Pouya Kamalinejad ◽  
Victor C.M. Leung ◽  
Shahriar Mirabbasi
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Energy Harvesting ◽  
Power Control ◽  
Wireless Sensor ◽  
Transmission Control ◽  
Optimal Power ◽  
Optimal Power Control ◽  
Wireless Energy Harvesting

scholarly journals Efficient and Secure Routing Protocol for Wireless Sensor Networks through Optimal Power Control and Optimal Handoff-Based Recovery Mechanism

2012 ◽  
Vol 2012 ◽  
pp. 1-8 ◽  
Author(s):  
S. Ganesh ◽  
R. Amutha
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Power Control ◽  
Routing Protocol ◽  
Control Mechanism ◽  
Secure Routing ◽  
Wireless Sensor ◽  
Optimal Power ◽  
Secure Routing Protocol ◽  
Optimal Power Control

Advances in wireless sensor network (WSN) technology have provided the availability of small and low-cost sensor with capability of sensing various types of physical and environmental conditions, data processing, and wireless communication. In WSN, the sensor nodes have a limited transmission range, and their processing and storage capabilities as well as their energy resources are also limited. Modified triple umpiring system (MTUS) has already proved its better performance in Wireless Sensor Networks. In this paper, we extended the MTUS by incorporating optimal signal to noise ratio (SNR)-based power control mechanism and optimal handoff-based self-recovery features to form an efficient and secure routing for WSN. Extensive investigation studies using Glomosim-2.03 Simulator show that efficient and secure routing protocol (ESRP) with optimal power control mechanism, and handoff-based self-recovery can significantly reduce the power usage.

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