EER: Energy Efficient Routing in Wireless Sensor Networks

Sensor Networks are usually large collections of sensing nodes. The main constrain of sensor network is that the sensor nodes have constant power source. They cannot be recharged or replaced once deployed. Topological control is a popular technique for energy conservation in sensor networks. Therefore, numbers of cluster base energy conservation technique are defined previously. In cluster base technique, main problems are proper data aggregation and a large amount of energy wastage to make cluster. In this paper we study the problem of efficient data propagation with proper data aggregation model in wireless sensor networks. The EER (Energy Efficient Routing in Wireless Sensor Network) technique define optimal size of clusters where data are aggregated properly and data routing occurs in energy efficient way. In EER, clusters are generated with the help of L-system CA scheme. Data routing path is also decided by L-system CA scheme. The simulation result depicts that life time of the nodes increases with respect to other existing energy conservation techniques.

[1]  Sukanta Das,et al.  An Energy Effilcient Monitoring of Ad-Hoc Sensor Network with Cellular Automata , 2006, 2006 IEEE International Conference on Systems, Man and Cybernetics.

[2]  Hafizur Rahaman,et al.  UDDN: Unidirectional Data Dissemination via Negotiation , 2008, 2008 International Conference on Information Networking.

[3]  Wei-Kuan Shih,et al.  A fault-tolerant scheme for an autonomous local wireless sensor network , 2010, Comput. Stand. Interfaces.

[4]  Huazhong Yang,et al.  Energy-efficient spatially-adaptive clustering and routing in wireless sensor networks , 2009, 2009 Design, Automation & Test in Europe Conference & Exhibition.

[5]  Mario Di Francesco,et al.  Energy conservation in wireless sensor networks: A survey , 2009, Ad Hoc Networks.

[6]  A. Khadem Zadeh,et al.  Cellular Automata Based Method for Energy Conservation Solution in Wireless Sensor Network , 2008, 2008 4th International Conference on Wireless Communications, Networking and Mobile Computing.

[7]  Nauman Aslam,et al.  A Unified Clustering and Communication Protocol for Wireless Sensor Networks , 2008 .

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

[9]  Moshe Sipper,et al.  On the relationship between cellular automata and L-systems: the self-replication case , 1998 .

[10]  Jie Wu,et al.  EECS: an energy efficient clustering scheme in wireless sensor networks , 2005, PCCC 2005. 24th IEEE International Performance, Computing, and Communications Conference, 2005..

[11]  Deborah Estrin,et al.  Medium access control with coordinated adaptive sleeping for wireless sensor networks , 2004, IEEE/ACM Transactions on Networking.

[12]  Lan Tien Nguyen,et al.  An energy efficient routing scheme for mobile wireless sensor networks , 2008, 2008 IEEE International Symposium on Wireless Communication Systems.

[13]  Janko Gravner,et al.  Metastability in the Greenberg-Hastings Model , 1993, patt-sol/9303005.

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

[15]  Antonio Alfredo Ferreira Loureiro,et al.  Simulating large wireless sensor networks using cellular automata , 2005, 38th Annual Simulation Symposium.

[16]  Samuel Pierre,et al.  A distributed energy-efficient clustering protocol for wireless sensor networks , 2010, Comput. Electr. Eng..

[17]  S. Hastings,et al.  Spatial Patterns for Discrete Models of Diffusion in Excitable Media , 1978 .

[18]  H. Rahaman,et al.  C A Based Sensor Node Management Scheme: An Energy Efficient Approach , 2007, 2007 International Conference on Wireless Communications, Networking and Mobile Computing.

[19]  C. Cook,et al.  A chomsky hierarchy of isotonic array grammars and languages , 1978 .