Energy efficient multihop selection with PEGASIS routing protocol for wireless sensor networks

Recent achievements in wireless sensor networks have enabled the use of tiny and inexpensive sensors with the ability of sensing large information and propagating over large distances. But the most important concern with wireless sensor network is, the node sensing range is very small, Low storage and limited energy resources. So to overcome this type of problem efficient energy planning should be made. Clustering is one of the technologies that can utilize the node energy effectively. So that the network life time can be extended. The proposed method which uses the advantage of SNR for multi hopping and power efficient gathering in sensor information systems (PEGASIS) routing protocol in order to increase the life time of the network. The analysis shows that the proposed method has extended the network life time and were compared with the previously introduced methods based on different parameters.

[1]  M. Murata,et al.  Energy-Efficient Clustering Method for Data Gathering in Sensor Networks , 2004 .

[2]  Yookun Cho,et al.  PEACH: Power-efficient and adaptive clustering hierarchy protocol for wireless sensor networks , 2007, Comput. Commun..

[3]  R. Thirumalai Selvi,et al.  Efficient and Secure Routing Protocol for Wireless Sensor Networks through SNR Based Dynamic Clustering Mechanisms , 2015 .

[4]  Lei Li,et al.  An energy efficient clustering routing algorithm for wireless sensor networks , 2006 .

[5]  Majid Sarrafzadeh,et al.  Optimal Energy Aware Clustering in Sensor Networks , 2002 .

[6]  Yueh-Min Huang,et al.  Adaptive Power-Aware Clustering and Multicasting Protocol for Mobile Ad Hoc Networks , 2006, UIC.

[7]  Vaibhav Godbole.  FCA - An Approach On LEACH Protocol Of Wireless Sensor Networks Using Fuzzy Logic , 2013, ArXiv.

[8]  Fengjun Shang,et al.  An Energy-Efficient Communication Protocol for Wireless Sensor Networks , 2011, J. Networks.

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

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

[11]  Chi-Tsun Cheng,et al.  A Delay-Aware Data Collection Network Structure for Wireless Sensor Networks , 2011, IEEE Sensors Journal.

[12]  A. Karthikeyan,et al.  SELECTION OF CLUSTER HEAD USING FUZZY ADAPTIVE CLUSTERING FOR ENERGY OPTIMIZATION IN WIRELESS SENSOR NETWORK , 2013 .

[13]  Samir Khuller,et al.  A clustering scheme for hierarchical control in multi-hop wireless networks , 2001, Proceedings IEEE INFOCOM 2001. Conference on Computer Communications. Twentieth Annual Joint Conference of the IEEE Computer and Communications Society (Cat. No.01CH37213).

[14]  Leonidas J. Guibas,et al.  Wireless sensor networks - an information processing approach , 2004, The Morgan Kaufmann series in networking.

[15]  A. Karthikeyan,et al.  A novel hybrid decentralized unequal clustering approach for maximizing network lifetime in wireless sensor networks , 2013, 2013 IEEE International Conference on Computational Intelligence and Computing Research.

[16]  Cai Zhen,et al.  Improved algorithm of PEGASIS protocol introducing double cluster heads in wireless sensor network , 2010, 2010 International Conference on Computer, Mechatronics, Control and Electronic Engineering.

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