DocumentCode :
3338986
Title :
Maximizing system lifetime in wireless sensor networks
Author :
Dong, Qunfeng
Author_Institution :
Dept. of Comput. Sci., Massachusetts Univ., Amherst, MA, USA
fYear :
2005
fDate :
38457
Firstpage :
13
Lastpage :
19
Abstract :
Maximizing system lifetime in battery-powered wireless sensor networks with power aware topology control protocols and routing protocols has received intensive research. In the past, this problem has been mostly studied from the indirect perspective of energy conservation. Although this leads to solutions that help extend network lifetime, energy conservation is not the same problem as network lifetime maximization. Some researchers have formally studied network lifetime maximization problems, based on the assumption that energy is only consumed by packet transmission. However, it is well known that in many cases energy is significantly consumed during idle periods and overhearing. In this paper, we try to present a survey and formal analysis of a variety of network lifetime maximization problems in different energy consumption models. In particular, we identify different energy consumption models, define a variety of fundamental network lifetime maximization problems in individual energy consumption models, and formally analyze their complexities. Polynomial time algorithms are presented for tractable problems, and NP-hardness proofs are presented for intractable problems.
Keywords :
computational complexity; optimisation; power consumption; routing protocols; telecommunication control; telecommunication network topology; wireless sensor networks; NP-hardness proof; energy conservation; packet transmission; polynomial time algorithm; power aware topology control protocol; routing protocol; system lifetime maximization; wireless sensor network; Batteries; Energy conservation; Energy consumption; Intelligent networks; Military computing; Network topology; Polynomials; Routing protocols; Wireless communication; Wireless sensor networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Processing in Sensor Networks, 2005. IPSN 2005. Fourth International Symposium on
Print_ISBN :
0-7803-9201-9
Type :
conf
DOI :
10.1109/IPSN.2005.1440886
Filename :
1440886
Link To Document :
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