TY - GEN
T1 - Energy-efficient and fault-tolerant evolution models for large-scale wireless sensor networks
T2 - 58th IEEE Global Communications Conference, GLOBECOM 2015
AU - Peng, Haixia
AU - Si, Shuaizong
AU - Awad, Mohamad Khattar
AU - Cheng, Nan
AU - Zhou, Haibo
AU - Shen, Xuemin
AU - Zhao, Hai
N1 - Funding Information:
The project was partially funded by the Kuwait Foundation for the Advancement of Sciences under project code: P314- 35EO-01 and NSERC, Canada, and Haixia Peng is also financially supported by the China Scholarship Council
Publisher Copyright:
© 2015 IEEE.
PY - 2015
Y1 - 2015
N2 - In this paper, we present three network evolution models for generating fault-tolerant and energy- efficient large-scale peer-to-peer wireless sensor networks (WSNs) based on complex networks theory. Being scale-free is one of the intrinsic features of complex networks-based evolution models that generates fault- tolerant topologies. In this work, we argue that fault- tolerant topologies are not necessarily energy efficient. The three proposed energy-aware evolution models are energy-aware common neighbors (ECN), energy- aware large degree promoted (ELDP) and energy-aware large degree demoted (ELDD). ECN considers neighborhood overlap, whereas ELDP and ELDD consider topological overlap for node attachment. The ELDP model promotes the establishment of links to nodes with a large degree, whereas the ELDD model demotes this strategy. Performance evaluations demonstrate that the proposed models outperform a candidate clustering-based model, thereby providing greater energy savings and fault- tolerance. Among the proposed models, ECN is the winner in-terms of energy efficiency, ELDD performs best in- terms of fault-tolerance, and ELDP conveniently provides balance between the two.
AB - In this paper, we present three network evolution models for generating fault-tolerant and energy- efficient large-scale peer-to-peer wireless sensor networks (WSNs) based on complex networks theory. Being scale-free is one of the intrinsic features of complex networks-based evolution models that generates fault- tolerant topologies. In this work, we argue that fault- tolerant topologies are not necessarily energy efficient. The three proposed energy-aware evolution models are energy-aware common neighbors (ECN), energy- aware large degree promoted (ELDP) and energy-aware large degree demoted (ELDD). ECN considers neighborhood overlap, whereas ELDP and ELDD consider topological overlap for node attachment. The ELDP model promotes the establishment of links to nodes with a large degree, whereas the ELDD model demotes this strategy. Performance evaluations demonstrate that the proposed models outperform a candidate clustering-based model, thereby providing greater energy savings and fault- tolerance. Among the proposed models, ECN is the winner in-terms of energy efficiency, ELDD performs best in- terms of fault-tolerance, and ELDP conveniently provides balance between the two.
KW - Complex network
KW - Energy-efficient networks
KW - Fault-tolerant networks
KW - Large-scale wireless sensor networks
UR - http://www.scopus.com/inward/record.url?scp=84964876037&partnerID=8YFLogxK
U2 - 10.1109/GLOCOM.2014.7417534
DO - 10.1109/GLOCOM.2014.7417534
M3 - Conference contribution
AN - SCOPUS:84964876037
T3 - 2015 IEEE Global Communications Conference, GLOBECOM 2015
BT - 2015 IEEE Global Communications Conference, GLOBECOM 2015
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 6 December 2015 through 10 December 2015
ER -
