An Efficient Data Collection Approach for Wireless Sensor Networks
One of the most important applications of
wireless sensor networks is data collection. This paper
proposes as efficient approach for data collection in wireless
sensor networks by introducing Member Forward List. This list
includes the nodes with highest priority for forwarding the data.
When a node fails or dies, this list is used to select the next node
with higher priority. The benefit of this node is that it prevents
the algorithm from repeating when a node fails or dies. The
results show that Member Forward List decreases power
consumption and latency in wireless sensor networks.
[1] K. Maraiya, K. Kant, and N. Gupta, "Architectural Based Data
Aggregation Techniques in Wireless Sensor Network: A Comparative
Study," International Journal on Computer Science and Engineering
(IJCSE), vol. 3, no. 3, pp.1131-1134, 2002.
[2] S. Lindsey, C.S. Raghavendra, "PEGASIS: Power-Efficient Gathering in
Sensor Information Systems," Proceedings of IEEE on Conference
Aerospace, Los Angeles, CA. 2002, pp. 3-8.
[3] X. ZHANG, Data Collection in Wireless Sensor Networks, PhD thesis
Electrical and Computer Engineering in the Graduate College of the
University of Illinois at Chicago, 2009, pp. 11-20.
[4] A. Förster, and A.L. Murphy, "Optimal Cluster Sizes for Wireless
Sensor Networks: An Experimental Analysis," In Proceedings of
ADHOCNETS, 2009, pp.49-63.
[5] H. Li, H. Yi Yu, and A. Liu, "A Tree Based Data Collection Scheme for
Wireless Sensor Network" Proceedings of IEEE International
Conference on Mobile Communications and Learning Technologies,
(ICN/ICONS/MCL2006), Mauritius, 2006, pp.119-124.
[1] K. Maraiya, K. Kant, and N. Gupta, "Architectural Based Data
Aggregation Techniques in Wireless Sensor Network: A Comparative
Study," International Journal on Computer Science and Engineering
(IJCSE), vol. 3, no. 3, pp.1131-1134, 2002.
[2] S. Lindsey, C.S. Raghavendra, "PEGASIS: Power-Efficient Gathering in
Sensor Information Systems," Proceedings of IEEE on Conference
Aerospace, Los Angeles, CA. 2002, pp. 3-8.
[3] X. ZHANG, Data Collection in Wireless Sensor Networks, PhD thesis
Electrical and Computer Engineering in the Graduate College of the
University of Illinois at Chicago, 2009, pp. 11-20.
[4] A. Förster, and A.L. Murphy, "Optimal Cluster Sizes for Wireless
Sensor Networks: An Experimental Analysis," In Proceedings of
ADHOCNETS, 2009, pp.49-63.
[5] H. Li, H. Yi Yu, and A. Liu, "A Tree Based Data Collection Scheme for
Wireless Sensor Network" Proceedings of IEEE International
Conference on Mobile Communications and Learning Technologies,
(ICN/ICONS/MCL2006), Mauritius, 2006, pp.119-124.
@article{"International Journal of Electrical, Electronic and Communication Sciences:58942", author = "Hanieh Alipour and Alireza Nemaney Pour", title = "An Efficient Data Collection Approach for Wireless Sensor Networks", abstract = "One of the most important applications of
wireless sensor networks is data collection. This paper
proposes as efficient approach for data collection in wireless
sensor networks by introducing Member Forward List. This list
includes the nodes with highest priority for forwarding the data.
When a node fails or dies, this list is used to select the next node
with higher priority. The benefit of this node is that it prevents
the algorithm from repeating when a node fails or dies. The
results show that Member Forward List decreases power
consumption and latency in wireless sensor networks.", keywords = "Data Collection, Wireless Sensor Network, SensorNode, Tree-Based", volume = "5", number = "8", pages = "1075-4", }