DocumentCode :
73395
Title :
Achieving Energy Efficiency and Reliability for Data Dissemination in Duty-Cycled WSNs
Author :
Kai Han ; Jun Luo ; Liu Xiang ; Mingjun Xiao ; Liusheng Huang
Author_Institution :
Sch. of Comput. Eng., Nanyang Technol. Univ., Singapore, Singapore
Volume :
23
Issue :
4
fYear :
2015
fDate :
Aug. 2015
Firstpage :
1041
Lastpage :
1052
Abstract :
Because data dissemination is crucial to wireless sensor networks (WSNs), its energy efficiency and reliability are of paramount importance. While achieving these two goals together is highly nontrivial, the situation is exacerbated if WSN nodes are duty-cycled (DC) and their transmission power is adjustable. In this paper, we study the problem of minimizing the expected total transmission power for reliable data dissemination (multicast/broadcast) in DC-WSNs. Due to the NP-hardness of the problem, we design efficient approximation algorithms with provable performance bounds for it. To facilitate our algorithm design, we propose the novel concept of Time-Reliability-Power (TRP) space as a general data structure for designing data dissemination algorithms in WSNs, and the performance ratios of our algorithms based on the TRP space are proven to be O(logΔlogk) for both multicast and broadcast, where Δ is the maximum node degree in the network and k is the number of source/destination nodes involved in a data dissemination session. We also conduct extensive simulations to firmly demonstrate the efficiency of our algorithms.
Keywords :
approximation theory; computational complexity; telecommunication network reliability; telecommunication network routing; wireless sensor networks; NP-hardness; approximation algorithm; data dissemination reliability; duty-cycled WSN; energy efficiency; time-reliability-power space; wireless sensor networks; Algorithm design and analysis; Approximation algorithms; Approximation methods; Computer network reliability; Proposals; Reliability; Wireless sensor networks; Energy efficiency; reliability; routing; scheduling; wireless sensor networks;
fLanguage :
English
Journal_Title :
Networking, IEEE/ACM Transactions on
Publisher :
ieee
ISSN :
1063-6692
Type :
jour
DOI :
10.1109/TNET.2014.2312973
Filename :
6786441
Link To Document :
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