A Load Balanced Connection Aware Clustering Algorithm for Data FlowMethod and Exploit the Continuation of Wireless Sensor Networks

Wireless sensor networks have concerned significant attention over the past few years. A growing list of monitoring and tracking applications can employ WSNs for increased effectiveness; especially in hostile and remote areas. In these applications a large number of sensors are needed and requiring effective management of the network. Forming clusters has been the most popular approach to support scalability and energy efficient transmission in Wireless sensor networks (WSN). Significant attention has been paid to clustering strategies and algorithms yielding a large number of publications. In this paper, we propose Load Balanced Connection Aware Clustering algorithm (LBCACA) to make clusters and choose cluster head in WSNs. It considers sensor node status, connection condition, connection density, distance from base station and transmission count to find effective cluster head and build clusters.

[1]  Samir Khuller,et al.  A clustering scheme for hierarchical control in multi-hop wireless networks , 2001, Proceedings IEEE INFOCOM 2001. Conference on Computer Communications. Twentieth Annual Joint Conference of the IEEE Computer and Communications Society (Cat. No.01CH37213).

[2]  Majid Sarrafzadeh,et al.  Optimal Energy Aware Clustering in Sensor Networks , 2002 .

[3]  Mohamed F. Younis,et al.  An energy-efficient, scalable and collision-free MAC layer protocol for wireless sensor networks , 2005, Wirel. Commun. Mob. Comput..

[4]  Murat Demirbas,et al.  FLOC : A Fast Local Clustering Service for Wireless Sensor Networks , 2004 .

[5]  JoAnne Holliday,et al.  Distributed Energy-Efficient Hierarchical Clustering for Wireless Sensor Networks , 2005, DCOSS.

[6]  Anthony Ephremides,et al.  The Architectural Organization of a Mobile Radio Network via a Distributed Algorithm , 1981, IEEE Trans. Commun..

[7]  Deborah Estrin,et al.  Geography-informed energy conservation for Ad Hoc routing , 2001, MobiCom '01.

[8]  Radhika Nagpal,et al.  An Algorithm For Group Formation In An Amorphous Computer , 1998 .

[9]  Vikas Kawadia,et al.  Power control and clustering in ad hoc networks , 2003, IEEE INFOCOM 2003. Twenty-second Annual Joint Conference of the IEEE Computer and Communications Societies (IEEE Cat. No.03CH37428).

[10]  Mohamed F. Younis,et al.  Energy-aware management for cluster-based sensor networks , 2003, Comput. Networks.

[11]  Rajashekhar C. Biradar,et al.  A survey on routing protocols in Wireless Sensor Networks , 2012, 2012 18th IEEE International Conference on Networks (ICON).

[12]  Taieb Znati,et al.  A mobility-based framework for adaptive clustering in wireless ad hoc networks , 1999, IEEE J. Sel. Areas Commun..

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

[14]  Y.T. Hou,et al.  On energy provisioning and relay node placement for wireless sensor networks , 2005, IEEE Transactions on Wireless Communications.

[15]  Konstantinos Kalpakis,et al.  An efficient clustering-based heuristic for data gathering and aggregation in sensor networks , 2003, 2003 IEEE Wireless Communications and Networking, 2003. WCNC 2003..

[16]  Mohamed F. Younis,et al.  Load-balanced clustering of wireless sensor networks , 2003, IEEE International Conference on Communications, 2003. ICC '03..

[17]  Mario Gerla,et al.  Adaptive Clustering for Mobile Wireless Networks , 1997, IEEE J. Sel. Areas Commun..

[18]  Adrian Perrig,et al.  ACE: An Emergent Algorithm for Highly Uniform Cluster Formation , 2004, EWSN.

[19]  Anantha P. Chandrakasan,et al.  An application-specific protocol architecture for wireless microsensor networks , 2002, IEEE Trans. Wirel. Commun..

[20]  Sajal K. Das,et al.  WCA: A Weighted Clustering Algorithm for Mobile Ad Hoc Networks , 2002, Cluster Computing.

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

[22]  Edward J. Coyle,et al.  An energy efficient hierarchical clustering algorithm for wireless sensor networks , 2003, IEEE INFOCOM 2003. Twenty-second Annual Joint Conference of the IEEE Computer and Communications Societies (IEEE Cat. No.03CH37428).

[23]  Tao Wu,et al.  A self-reorganizing slot allocation protocol for multi-cluster sensor networks , 2005, IPSN 2005. Fourth International Symposium on Information Processing in Sensor Networks, 2005..