DocumentCode
1918950
Title
Load-Balanced Trees for Data Collection in Wireless Sensor Networks
Author
Huang, Chung-Kuo ; Chang, Guey Yun ; Sheu, Jang-Ping
Author_Institution
Dept. of Comput. Sci. & Inf. Eng., Nat. Central Univ., Jhongli, Taiwan
fYear
2012
fDate
10-13 Sept. 2012
Firstpage
474
Lastpage
479
Abstract
In static wireless sensor networks, it is an important research issue to achieve effectively periodic data collection and prolong the network lifetime. In this paper, a distributed k-load-balanced tree scheme is proposed to prolong the network lifetime for periodic data collection. A k-load-balanced tree is a tree that the difference of the number of children of each two non-leaf nodes in a network is less than k. Each node chooses the node with the least current number of children and number of neighbor as parent for avoiding that the difference of the number of children of each two non-leaf nodes in a network is more than k. The simulation results show that our scheme can prolong the network lifetime and the network delay time is close to the result of centralized method.
Keywords
distributed processing; resource allocation; trees (mathematics); wireless sensor networks; distributed k-load-balanced tree; network delay time; network lifetime; nonleaf nodes; periodic data collection; static wireless sensor networks; Energy consumption; Network topology; Protocols; Time division multiple access; Vegetation; Wireless sensor networks; Load-balanced; data collection; time division multiple access (TDMA); wireless sensor networks (WSNs);
fLanguage
English
Publisher
ieee
Conference_Titel
Parallel Processing Workshops (ICPPW), 2012 41st International Conference on
Conference_Location
Pittsburgh, PA
ISSN
1530-2016
Print_ISBN
978-1-4673-2509-7
Type
conf
DOI
10.1109/ICPPW.2012.65
Filename
6337515
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