A Firefly-inspired Micro and Macro Clustering Approach for Wireless Sensor Networks

[1]  Anthony Ephremides,et al.  The Design and Simulation of a Mobile Radio Network with Distributed Control , 1984, IEEE J. Sel. Areas Commun..

[2]  Wendi Heinzelman,et al.  Energy-efficient communication protocol for wireless microsensor networks , 2000, Proceedings of the 33rd Annual Hawaii International Conference on System Sciences.

[3]  Ferat Sahin,et al.  Cluster-head identification in ad hoc sensor networks using particle swarm optimization , 2002, 2002 IEEE International Conference on Personal Wireless Communications.

[4]  Ossama Younis,et al.  HEED: a hybrid, energy-efficient, distributed clustering approach for ad hoc sensor networks , 2004, IEEE Transactions on Mobile Computing.

[5]  Srdjan Krco Health Care Sensor Networks - Architecture and Protocols , 2005, Ad Hoc Sens. Wirel. Networks.

[6]  Jie Wu,et al.  An energy-efficient unequal clustering mechanism for wireless sensor networks , 2005, IEEE International Conference on Mobile Adhoc and Sensor Systems Conference, 2005..

[7]  S.K. Halgamuge,et al.  Particle Swarm Optimisers for Cluster formation in Wireless Sensor Networks , 2005, 2005 International Conference on Intelligent Sensors, Sensor Networks and Information Processing.

[8]  Stephan Olariu,et al.  Communal Cooperation in Sensor Networks for Situation Management , 2006, 2006 9th International Conference on Information Fusion.

[9]  Yi Shang,et al.  A biologically-inspired clustering protocol for wireless sensor networks , 2007, Comput. Commun..

[10]  Jie Wu,et al.  An Energy Efficient Clustering Scheme in Wireless Sensor Networks , 2007, Ad Hoc Sens. Wirel. Networks.

[11]  Charalampos Tsimenidis,et al.  Energy-Aware Clustering for Wireless Sensor Networks using Particle Swarm Optimization , 2007, 2007 IEEE 18th International Symposium on Personal, Indoor and Mobile Radio Communications.

[12]  Jinxin Dong,et al.  A New Clustering Algorithm Based on PSO with the Jumping Mechanism of SA , 2009, 2009 Third International Symposium on Intelligent Information Technology Application.

[13]  Andreas Pitsillides,et al.  Congestion Control in Autonomous Decentralized Networks Based on the Lotka-Volterra Competition Model , 2009, ICANN.

[14]  Makoto Takizawa,et al.  A Survey on Clustering Algorithms for Wireless Sensor Networks , 2010, NBiS.

[15]  Shuguang Cui,et al.  A biologically inspired networking model for wireless sensor networks , 2010, IEEE Network.

[16]  V. Mani,et al.  Clustering using firefly algorithm: Performance study , 2011, Swarm Evol. Comput..

[17]  Qi Zhang,et al.  Bioinspired Principles for Large-Scale Networked Sensor Systems: An Overview , 2011, Sensors.

[18]  V. Krishnaveni,et al.  A novel enhanced bio-inspired harmony search algorithm for clustering , 2012, 2012 International Conference on Recent Advances in Computing and Software Systems.

[19]  Qi Zhang,et al.  Bio-inspired low-complexity clustering in large-scale dense wireless sensor networks , 2012, 2012 IEEE Global Communications Conference (GLOBECOM).

[20]  Selcuk Okdem,et al.  Cluster based wireless sensor network routing using artificial bee colony algorithm , 2012, Wirel. Networks.

[21]  E SandeepKumar,et al.  Fire-LEACH: A Novel Clustering Protocol for Wireless Sensor Networks based on Firefly Algorithm , 2014 .

[22]  Sherali Zeadally,et al.  ABAMA: An Agent-based Architecture for Mapping Natural Ecosystems onto Wireless Sensor Networks , 2014, FNC/MobiSPC.

[23]  Peter James Vial,et al.  A Hybrid Feature Extraction Technique for Face Recognition , 2014 .

[24]  M VerginRajaSarobin,et al.  Bio-inspired, Cluster-based Deterministic Node Deployment in Wireless Sensor Networks , 2016 .