HYBRID APPROACH FOR ENERGY OPTIMIZATION IN CLUSTER BASED WSN USING ENERGY BALANCING CLUSTERING PROTOCOL

In recent times, the technology of wireless sensor network has a great impact on technical fields like wireless communication, information technology, electrical etc. However the major problem faced in this technology is that the sensor nodes run out of energy very quickly. Many routing protocols have been proposed to solve this problem mainly focussing on the accomplishment of minimizing the energy consumption in the sensor system. In this paper, two hierarchical protocols cluster based and chain based protocol for WSNs have been discussed. In both type of protocols some special nodes called cluster heads/chain heads acts as leader for a group of nodes. Each head collects data from its member nodes and forward it to the sink (base station). Here consider a homogeneous network where all the nodes in the network have uniform and limited resource energy. So it is essential to avoid quick depletion of head nodes. Hence every node in the network takes their turn to act as head but only for a limited period of time. Energy saving in these approaches can be obtained by cluster formation, head election and data aggregation at the head nodes. The proposed Energy Balancing Clustering Protocol (EBCP) which uses Bacterial Foraging Optimization Algorithm in electing the cluster head. The simulation results shows that the proposed protocol extends the life time of the network when compared with Energy Efficient Unequal Clustering (EEUC)and PEGASIS with Double Cluster Head technique(PDCH).

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

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

[3]  Daniela Rus,et al.  Hierarchical Power-aware Routing in Sensor Networks , 2001 .

[4]  Matt Welsh,et al.  MoteTrack: a robust, decentralized approach to RF-based location tracking , 2005, Personal and Ubiquitous Computing.

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

[6]  Ameer Ahmed Abbasi,et al.  A survey on clustering algorithms for wireless sensor networks , 2007, Comput. Commun..

[7]  M. Jiang,et al.  Cluster based routing protocol (CBRP) , 1999 .

[8]  Peter I. Corke,et al.  Data collection, storage, and retrieval with an underwater sensor network , 2005, SenSys '05.

[9]  David E. Culler,et al.  System architecture for wireless sensor networks , 2003 .

[10]  Mario Gerla,et al.  Routing and multicast in multihop, mobile wireless networks , 1997, Proceedings of ICUPC 97 - 6th International Conference on Universal Personal Communications.

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

[12]  Alpesh R. Sankaliya,et al.  PEGASIS : Power-Efficient Gathering in Sensor Information Systems , 2015 .

[13]  Deborah Estrin,et al.  Rumor Routing Algorithm For Sensor Networks , 2002 .

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

[15]  Jan M. Rabaey,et al.  Energy aware routing for low energy ad hoc sensor networks , 2002, 2002 IEEE Wireless Communications and Networking Conference Record. WCNC 2002 (Cat. No.02TH8609).

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

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

[18]  Wahyu Kusuma,et al.  Journal of Theoretical and Applied Information Technology , 2012 .

[19]  Chao Wang,et al.  Swarm intelligence optimization based routing algorithm for Wireless Sensor Networks , 2008, 2008 International Conference on Neural Networks and Signal Processing.

[20]  Ian F. Akyildiz,et al.  Wireless sensor networks: a survey , 2002, Comput. Networks.

[21]  Axel W. Krings,et al.  Insect sensory systems inspired computing and communications , 2009, Ad Hoc Networks.

[22]  Margaret Martonosi,et al.  Hardware design experiences in ZebraNet , 2004, SenSys '04.

[23]  P.H.J. Chong,et al.  A survey of clustering schemes for mobile ad hoc networks , 2005, IEEE Communications Surveys & Tutorials.

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

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

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

[27]  Mario Gerla,et al.  A heterogeneous routing protocol based on a new stable clustering scheme , 2002, MILCOM 2002. Proceedings.

[28]  Wei Hong,et al.  A macroscope in the redwoods , 2005, SenSys '05.

[29]  Makoto Takizawa,et al.  A Survey on Clustering Algorithms for Wireless Sensor Networks , 2010, 2010 13th International Conference on Network-Based Information Systems.

[30]  Gyula Simon,et al.  Sensor network-based countersniper system , 2004, SenSys '04.