Energy-Aware Data Aggregation for Grid-Based Wireless Sensor Networks with a Mobile Sink

2007 ◽  
Vol 43 (4) ◽  
pp. 1539-1551 ◽  
Author(s):  
Nen-Chung Wang ◽  
Yung-Fa Huang ◽  
Jong-Shin Chen ◽  
Po-Chi Yeh
2017 ◽  
Vol 25 (1) ◽  
pp. 241-253 ◽  
Author(s):  
Abdul Waheed Khan ◽  
Javed Iqbal Bangash ◽  
Adnan Ahmed ◽  
Abdul Hanan Abdullah

2018 ◽  
Vol 14 (5) ◽  
pp. 155014771877468 ◽  
Author(s):  
Edson Ticona-Zegarra ◽  
Rafael CS Schouery ◽  
Leandro A Villas ◽  
Flávio K Miyazawa

Wireless sensor networks consist of hundreds or thousands of nodes with limited energy resources, and thus, efficient use of energy is necessary for these networks. Given that transmissions are the most energy-demanding operation, routing algorithms should consider efficient use of transmissions in their designs in order to extend the network lifetime. To tackle these challenges, a centralized algorithm is proposed, called improved continuous enhancement routing (ICER), for computing routing trees of refined quality, based on data aggregation while being aware of the battery energy state. Comparisons between ICER and other known solutions in the literature are performed. Our experiments show that ICER is able to ensure, on average, the survival of 99.6% and the connectivity of 99.3% of the network nodes compared to 90.2% and 72.4% in relation to the best-compared algorithm. The obtained results show that ICER significantly extends the network lifetime while maintaining the quality of the routing tree.


Author(s):  
Neng-Chung Wang ◽  
Yung-Kuei Chiang ◽  
Chih-Hung Hsieh ◽  
Young-Long Chen

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