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  Energy Efficient Hybrid FCM and Cuckoo optimization based clustering Technique for Wireless Multimedia Sensor Network  
  Authors : Addisalem Genta; D K Lobiyal
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One of the prime limitations of Wireless Multimedia Sensor Network (WMSN) is high energy consumption. The sensor nodes are powered by battery of finite energy which rapidly gets depleted during transmission of big size multimedia data like video, image and audio in the network. This process increases the rate of energy dissipation in the network and indirectly shortens the life span of the whole network. Since recharging of the battery of sensor nodes is not feasible, preserving the already available energy of the network is vital consideration in the design of various protocols. In this study, hybrid energy efficient FCM and cuckoo optimization based clustering algorithm is proposed. The fuzzy c-mean method is used in the cluster formation while cuckoo search algorithm is employed for CH election. The experimental results of MATLAB simulation of the proposed technique show that the technique is suitable for maintaining the energy of the network for longer time and it also outperforms the already existing algorithms in terms of network life time and minimum energy consumption.


Published In : IJCSN Journal Volume 8, Issue 1

Date of Publication : February 2019

Pages : 91-101

Figures :15

Tables : 03


Addisalem Genta : was born in Assela, Ethiopia, in 1985. He received the B.Sc. degree in electrical and computer engineering from Jimma University, Jimma, Ethiopia, in 2007, and the M.Sc. in computer engineering from Addisababa University, Addisababa, Ethiopia, in 2011. Currently, he is pursuing his PhD degree in computer engineering from Jawaharlal Nehru University, New Delhi, India since 2014. In 2007, he joined the Ethiopian Electric power Corporation as an Electrical power line design Engineer. In 2012, he joined Mettu university - Department of Electrical and computer Engineering as a Lecturer, and was assigned as dean of Faculty of Technology same year and served for two and half years. Later on in 2014, he joined Ambo University, Department of Electrical and Computer Engineering as lecturer and still he is working over there. His current research interests include ICT in Ethiopia, Role of ICT for development, multimedia data processing in wireless sensor network, energy efficient WMSN, energy harvesting for WMSN, and energy efficient routing protocol for WSN.

Dr D K Lobiyal : received his Ph.D and M. Tech (Computer Science & technology) from School of Computer and Systems Sciences, Jawaharlal Nehru University, New Delhi, India in 1996 and 1991, respectively, and B. Tech. (Computer Science and Engineering) from Lucknow University, India in 1988. He is currently working as Professor in the School of Computer and Systems Sciences, Jawaharlal Nehru University, New Delhi, India. His research interest includes Mobile Ad hoc Networks, Natural Language Processing, and Neurocomputing. Dr. Lobiyal has published papers in International journals and conferences including IEEE, Wiley and Sons, Springer, Inderscience, WSEAS, IGI Global, and ACTA Press.


WMSNs, Cuckoo search, FCM, network life time, energy consumption

Energy is the prime resource constraints in wireless sensor network and therefore requires proper and elaborated design of energy aware routing protocols. Routing protocols based on clustering techniques provide the best flavour of efficient utilization of the network energy. Every sensor node in the network is assigned to the most appropriate cluster before data communication happens. Similarly, CH is selected as central coordinator of the group and in-charge of all communications on behalf of the cluster members with the sink node.


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