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Duty Cycle and Link Life Time Prediction Routing In Wireless Sensor Network


 

The nodes in sensor networks have limited battery power and it is not feasible or possible to recharge or replace the Batteries, therefore power consumption should be minimized so that overall Network lifetime will be increased. In order to minimize power consumed during idle listening, some nodes which can be considered redundant can be put to sleep. This paper presents a life time prediction routing protocol for WSN that maximizes the network life time. Link Life Time Prediction Algorithm (LLP) is proposed and Compared to Three energy-efficient online traffic scheduling algorithms in terms of sensor ratio and time averaged coverage. Offline scheduling results are presented that provide lower bounds on the energy needed to satisfy the communication requirements.


Keywords

duty cycle control, energy efficiency, Link Lifetime prediction, Wireless Sensor Networks
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  • Duty Cycle and Link Life Time Prediction Routing In Wireless Sensor Network

Abstract Views: 139  |  PDF Views: 0

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Abstract


The nodes in sensor networks have limited battery power and it is not feasible or possible to recharge or replace the Batteries, therefore power consumption should be minimized so that overall Network lifetime will be increased. In order to minimize power consumed during idle listening, some nodes which can be considered redundant can be put to sleep. This paper presents a life time prediction routing protocol for WSN that maximizes the network life time. Link Life Time Prediction Algorithm (LLP) is proposed and Compared to Three energy-efficient online traffic scheduling algorithms in terms of sensor ratio and time averaged coverage. Offline scheduling results are presented that provide lower bounds on the energy needed to satisfy the communication requirements.


Keywords


duty cycle control, energy efficiency, Link Lifetime prediction, Wireless Sensor Networks