6th International Conference on Ambient Systems, Networks and Technologies, (ANT 2015) LEATCH: Low Energy Adaptive Tier Clustering Hierarchy

In Wireless Sensor Networks, low latency, energy efficiency, and coverage problems are considered as three key issues in designing routing protocols. In this paper we present a new protocol called Low Energy Adaptive Tier Clustering Hierarchy (LEATCH), which offers a good compromise between delay and energy consumption and resolves some coverage problems. For our purpose, a two level hierarchical approach has been proposed to organize a sensor network into a set of clusters, every cluster divided into small clusters that are called Mini Clusters. As the way the clusters are organized, for each mini cluster we define a Mini ClusterHead (MCH). Every MCH communicates with the cluster-head directly, it aggregates its mini-cluster information. In addition, we ha ve made some changes in the procedure of cluster head and mini cluster head election. LEATCH promises better performances than the conventional LEACH protocol which is one of the most known hierarchical routing protocols using the probabilistic model to manage the energy consumption in WSNs. Simulation results show that LEATCH performs better than LEACH in term of energy, delay, coverage and scalability. c

[1]  Biswanath Mukherjee,et al.  Wireless sensor network survey , 2008, Comput. Networks.

[2]  Mohamed F. Younis,et al.  A survey on routing protocols for wireless sensor networks , 2005, Ad Hoc Networks.

[3]  Zhang Shiwei,et al.  A CLUSTERING ROUTING PROTOCOL FOR ENERGY BALANCE OF WIRELESS SENSOR NETWORK BASED ON SIMULATED ANNEALING AND GENETIC ALGORITHM , 2014 .

[4]  ChessaStefano,et al.  Wireless sensor networks , 2007 .

[5]  Qianping Wang,et al.  A probability optimize clustering routing algorithm for WSNs , 2011, 2011 3rd International Conference on Electronics Computer Technology.

[6]  András Varga,et al.  An overview of the OMNeT++ simulation environment , 2008, SimuTools.

[7]  Chee-Yee Chong,et al.  Sensor networks: evolution, opportunities, and challenges , 2003, Proc. IEEE.

[8]  Lionel M. Ni,et al.  Reactive ID assignment for sensor networks , 2005, IEEE International Conference on Mobile Adhoc and Sensor Systems Conference, 2005..

[9]  Anuj Jain,et al.  An Optimized Energy Efficient Routing Algorithm For Wireless Sensor Network , 2011 .

[10]  Anthony Tzes,et al.  Power Conservation through Energy Efficient Routing in Wireless Sensor Networks , 2009, Sensors.

[11]  Abdelfettah Belghith,et al.  A Synchronous Tiered Based Clustering Algorithm for large-scale Ad hoc Networks , 2008, MWCN/PWC.

[12]  L. Javier García-Villalba,et al.  Routing Protocols in Wireless Sensor Networks , 2009, Sensors.

[13]  Ma Chaw Mon Thein,et al.  An Energy Efficient Cluster-Head Selection for Wireless Sensor Networks , 2010, 2010 International Conference on Intelligent Systems, Modelling and Simulation.

[14]  Cauligi S. Raghavendra,et al.  PEGASIS: Power-efficient gathering in sensor information systems , 2002, Proceedings, IEEE Aerospace Conference.

[15]  Ian F. Akyildiz,et al.  Sensor Networks , 2002, Encyclopedia of GIS.

[16]  Insoo Koo,et al.  Performance Analysis of ILEACH and LEACH Protocols for Wireless Sensor Networks , 2012, J. Inform. and Commun. Convergence Engineering.