Op-LEACH: An Optimized LEACH Method for Busty Traffic in WSNs

A Wireless Sensor Network (WSN) is a collection of small, self-contained electro-mechanical devices that monitor the environment conditions. There are many design issues for WSNs such as deployment, mobility, infrastructure, network topology, network size and density, connectivity, lifetime, node addressability, data aggregation etc. The hierarchical routing protocols are LEACH (Low-Energy Adaptive Clustering Hierarchy) is one of the routing protocols designed for communication in WSNs. LEACH is clustering based protocol that utilizes randomized rotation of local cluster-heads to evenly distribute the energy load among the sensors in the network. LEACH uses localized coordination to enable scalability and robustness for dynamic networks, and incorporates data fusion into the routing protocol to reduce the amount of information that must be transferred to the base station. But LEACH is based on the assumption that each sensor nodes contain equal amount of energy which is not valid in real scenarios. LEACH uses a TDMA based MAC protocol, in order to maintain balanced energy consumption. A number of these TDMA slots are wasted when the nodes have random data distribution. A modification to existing LEACH protocol is needed in order to use the slots corresponding to nodes that do not have data to send at its scheduled slot. This paper presents a new version of LEACH protocol called OP-LEACH which aims to reduce energy consumption within the wireless sensor network. Both existing LEACH and proposed OP-LEACH are evaluated through extensive simulations using OMNET++ simulator which shows that Op-LEACH performs better than LEACH protocol.

[1]  Dan Wu,et al.  Distributed TDMA scheduling protocol based on conflict-free for wireless sensor networks , 2010, 2010 International Conference on Intelligent Computing and Integrated Systems.

[2]  Zeljko Zilic,et al.  Architectures of increased availability wireless sensor network nodes , 2004 .

[3]  Katarzyna Radecka,et al.  Architectures of increased availability wireless sensor network nodes , 2004, 2004 International Conferce on Test.

[4]  Hu Junping,et al.  A Time-based Cluster-Head Selection Algorithm for LEACH , 2008, 2008 IEEE Symposium on Computers and Communications.

[5]  Kemal Akkaya,et al.  Energy-aware delay-constrained routing in wireless sensor networks: Research Articles , 2004 .

[6]  N. Ramanathan,et al.  A stream-oriented power management protocol for low duty cycle sensor network applications , 2005, The Second IEEE Workshop on Embedded Networked Sensors, 2005. EmNetS-II..

[7]  Choong Seon Hong,et al.  Security in wireless sensor networks: issues and challenges , 2006, 2006 8th International Conference Advanced Communication Technology.

[8]  Hua Zhang,et al.  Cluster Heads Election Analysis for Multi-hop Wireless Sensor Networks Based on Weighted Graph and Particle Swarm Optimization , 2008, 2008 Fourth International Conference on Natural Computation.

[9]  Olivier Berder,et al.  Traffic-aware adaptive wake-up-interval for preamble sampling MAC protocols of WSN , 2011, 2011 Third International Workshop on Cross Layer Design.

[10]  Networks Shio,et al.  A Survey of Energy-Efficient Hierarchical Cluster-Based Routing in Wireless Sensor , 2010 .

[11]  Yuh-Shyan Chen,et al.  C-MAC: An Energy-Efficient MAC Scheme Using Chinese-Remainder-Theorem for Wireless Sensor Networks , 2007, 2007 IEEE International Conference on Communications.

[12]  Jing Li,et al.  A cluster-based power-efficient MAC scheme for event-driven sensing applications , 2007, Ad Hoc Networks.

[13]  Shio Kumar Singh,et al.  A Survey of Energy-Efficient Hierarchical Cluster-Based Routing in Wireless Sensor , 2010 .