Review Paper on Wireless Sensor Networks using Different Types of Approaches

Authors

  • Imam D Department of Electronics and Communication, LNCTE, Bhopal
  • Shrivastava R Department of Electronics and Communication, LNCTE, Bhopal

DOI:

https://doi.org/10.26438/ijcse/v7i7.257261

Keywords:

Wireless Sensor Network, Cluster Head, Routing Protocol

Abstract

The widespread use of wireless sensor devices and their advancements in terms of size, deployment cost, measurement of environmental events and user friendly interface have given rise to many applications of wireless sensor networks (WSNs). WSNs are usually characterized as self-organizing networks which can be deployed without requiring any specific infrastructure in harsh and/or hostile area. In this paper are studied of different types of clustering protocol favors higher period in lieu of overall network lifetime. In cluster, a predetermined number of CHs are selected in deterministic fashion on the basis of residual energy of nodes. The focus is to balance the load among nodes and provide full network coverage.

References

[1] Nashreen Nesa and Indrajit Banerjee, “Sensor Rank: An Energy Efficient Sensor Activation Algorithm for Sensor Data Fusion in Wireless Networks”, IEEE Internet of Things Journal, IEEE 2019.

[2] Segun O. Olatinwo and Trudi-H. Joubert, “Energy Efficient Solutions in Wireless Sensor Systems for Water Quality Monitoring: A Review”, IEEE Sensors Journal, Vol. 19, Issue 5, pp no. 1596-1625, IEEE 2019.

[3] Xiuwen Fu ; Giancarlo Fortino ; Wenfeng Li, “Environment-Cognitive Multipath Routing Protocol in Wireless Sensor Networks”, IEEE International Conference on Systems, Man, and Cybernetics (SMC), IEEE 2018.

[4] Nikumani Choudhury, Rakesh Matam, Mithun Mukherjee and Jaime Lloret, “A Non-Threshold –base Cluster Head Rotation Scheme for IEEE 802.15.4 Cluster -Tree Network”, Global Communications Conference (GLOBECOM), IEEE 2018.

[5] Da-Ren Chen, Ming-Yang Hsu, Hao-Yen Chang, “Context-Aware and Energy Efficient Protocol for the Distributed Wireless Sensor Network”, 28th International Telecommunication Network and Applications Conference (ITNAC), IEEE 2018.

[6] Mandeep Dhami, Vishal Garg and Navdeep Singh Randhawa, “Enhanced Lifetime with Less Energy Consumption in WSN using Genetic Algorithm based Approach”, IEEE 9th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON), IEEE 2017.

[7] Akshay Verma, Mamta Khosla, Tarique Rashid and Arvind Kumar, “Grid and Fuzzy based Stable Energy Efficient Clustering Algorithm for Heterogeneous Wireless Sensor Network”, 14th IEEE India Council International Conference (INDICON), IEEE 2017.

[8] Uday Kumar Rai ; Kanika Sharma, “Maximum Likelihood Estimation based Clustering Algorithm on Wireless Sensor Network-A Review”, International Conference on Energy, Communication, Data Analytics and Soft Computing (ICECDS), IEEE 2017.

[9] M. Devika ; S. Maflin Shaby, “Efficient route block avoiding algorithm in cluster based routing method for Wireless Sensor Network”, International Conference on Energy, Communication, Data Analytics and Soft Computing (ICECDS), IEEE 2017.

[10] N.G. Palan, B.V. Barbadekar and Suahs Patil, “Low Energy Adaptive Clustering Hierarchy (LEACH) Protocol: A Retrospective Analysis”, International Conference on Inventive Systems and Control, ICISC-2017.

[11] Hongjun Wang, Huiqing Chang Hui Zhao and Youjun Yue, “Research on LEACH Algorithm Based on Double Cluster Head Cluster Clustering and Data Fusion”, International conference of IEEE 2017.

[12] Anjali Bharti, Chandni Devi and Dr. Vinay Bhatia, “Enhanced Energy Efficient LEACH (EEE- LEACH) Algorithm using MIMO for Wireless Sensor Network”, International Conference on Computational Intelligence and Computing Research, IEEE 2015.

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Published

2019-07-31
CITATION
DOI: 10.26438/ijcse/v7i7.257261
Published: 2019-07-31

How to Cite

[1]
D. Imam and R. Shrivastava, “Review Paper on Wireless Sensor Networks using Different Types of Approaches”, Int. J. Comp. Sci. Eng., vol. 7, no. 7, pp. 257–261, Jul. 2019.

Issue

Vol. 7 No. 7 (2019): IJCSE July Edition

Section

Review Article

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