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
Link To Document :
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