Energy aware data aggregation in wireless sensor networks

2011 ◽  
Author(s):  
Jose Luis Zechinelli-Martini ◽  
Paolo Bucciol ◽  
Genoveva Vargas-Solar
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Data Aggregation ◽  
Wireless Sensor ◽  
Energy Aware

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
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Data Aggregation ◽  
Mobile Sink ◽  
Wireless Sensor ◽  
Energy Aware ◽  
Grid Based

scholarly journals Improved continuous enhancement routing solution for energy-aware data aggregation in wireless sensor networks

2018 ◽  
Vol 14 (5) ◽  
pp. 155014771877468 ◽  
Author(s):  
Edson Ticona-Zegarra ◽  
Rafael CS Schouery ◽  
Leandro A Villas ◽  
Flávio K Miyazawa
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Network Lifetime ◽  
Data Aggregation ◽  
Energy State ◽  
Wireless Sensor ◽  
Energy Aware ◽  
Network Nodes ◽  
Battery Energy ◽  
Routing Tree

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.

scholarly journals An Energy-Aware and Load-balancing Routing scheme for Wireless Sensor Networks

2018 ◽  
Vol 12 (3) ◽  
pp. 1312 ◽  
Author(s):  
Omar Adil Mahdi ◽  
Yusor Rafid Bahar Al-Mayouf ◽  
Ahmed Basil Ghazi ◽  
Mazin Abed Mohammed ◽  
Ainuddin Wahid Abdul Wahab ◽  
...  
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Load Balancing ◽  
Data Aggregation ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Energy Aware ◽  
Routing Scheme ◽  
Limited Energy

<p>Energy and memory limitations are considerable constraints of sensor nodes in wireless sensor networks (WSNs). The limited energy supplied to network nodes causes WSNs to face crucial functional limitations. Therefore, the problem of limited energy resource on sensor nodes can only be addressed by using them efficiently. In this research work, an energy-balancing routing scheme for in-network data aggregation is presented. This scheme is referred to as Energy-aware and load-Balancing Routing scheme for Data Aggregation (hereinafter referred to as EBR-DA). The EBRDA aims to provide an energy efficient multiple-hop routing to the destination on the basis of the quality of the links between the source and destination. In view of this goal, a link cost function is introduced to assess the quality of the links by considering the new multi-criteria node weight metric, in which energy and load balancing are considered. The node weight is considered in constructing and updating the routing tree to achieve dynamic behavior for event-driven WSNs. The proposed EBR-DA was evaluated and validated by simulation, and the results were compared with those of InFRA and DRINA by using performance metrics for dense static networks.</p>

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