Energy efficient coverage using optimized node scheduling in wireless sensor networks

2015 ◽  
Author(s):  
Avinash More ◽  
Sharad Wagh
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Energy Efficient ◽  
Wireless Sensor ◽  
Node Scheduling

scholarly journals Energy-Efficient Node Scheduling Method for Cooperative Target Tracking in Wireless Sensor Networks

2015 ◽  
Vol 2015 ◽  
pp. 1-11 ◽  
Author(s):  
Weirong Liu ◽  
Yun He ◽  
Xiaoyong Zhang ◽  
Fu Jiang ◽  
Kai Gao ◽  
...  
Keyword(s):  
Wireless Sensor Networks ◽  
Energy Consumption ◽  
Sensor Networks ◽  
Target Tracking ◽  
Energy Efficient ◽  
Wireless Sensor ◽  
Tracking Accuracy ◽  
Node Scheduling ◽  
Scheduling Method ◽  
Sample Interval

Using the sensor nodes to achieve target tracking is a challenging problem in resource-limited wireless sensor networks. The tracking nodes are usually required to consume much energy to improve the tracking performance. In this paper, an energy-efficient node scheduling method is proposed to minimize energy consumption while ensuring the tracking accuracy. Firstly, the Kalman-consensus filter is constructed to improve the tracking accuracy and predict the target position. Based on the predicted position, an adaptive node scheduling mechanism is utilized to adjust the sample interval and the number of active nodes dynamically. Rather than using traditional search algorithm, the scheduling problem is decomposed to decouple the sample interval and number of nodes. And the node index is mapped into real domain to get closed-form solution to decide the active nodes. Thus, the NP-complete nature is avoided in the proposed method. The proposed scheduling method can keep the tracking accuracy while minimizing energy consumption. Simulation results validate its effective performance for target tracking in wireless sensor networks.

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