Open Access   Article Go Back

Data Aggregation Approach to Improve the Network Lifetime in wireless sensor networks

D. Dinesh1 , B. Jogeswara Rao2

Section:Research Paper, Product Type: Journal Paper
Volume-6 , Issue-11 , Page no. 429-433, Nov-2018

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v6i11.429433

Online published on Nov 30, 2018

Copyright © D. Dinesh, B. Jogeswara Rao . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

View this paper at   Google Scholar | DPI Digital Library

How to Cite this Paper

  • IEEE Citation
  • MLA Citation
  • APA Citation
  • BibTex Citation
  • RIS Citation

IEEE Style Citation: D. Dinesh, B. Jogeswara Rao, “Data Aggregation Approach to Improve the Network Lifetime in wireless sensor networks,” International Journal of Computer Sciences and Engineering, Vol.6, Issue.11, pp.429-433, 2018.

MLA Style Citation: D. Dinesh, B. Jogeswara Rao "Data Aggregation Approach to Improve the Network Lifetime in wireless sensor networks." International Journal of Computer Sciences and Engineering 6.11 (2018): 429-433.

APA Style Citation: D. Dinesh, B. Jogeswara Rao, (2018). Data Aggregation Approach to Improve the Network Lifetime in wireless sensor networks. International Journal of Computer Sciences and Engineering, 6(11), 429-433.

BibTex Style Citation:
@article{Dinesh_2018,
author = {D. Dinesh, B. Jogeswara Rao},
title = {Data Aggregation Approach to Improve the Network Lifetime in wireless sensor networks},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {11 2018},
volume = {6},
Issue = {11},
month = {11},
year = {2018},
issn = {2347-2693},
pages = {429-433},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=3182},
doi = {https://doi.org/10.26438/ijcse/v6i11.429433}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v6i11.429433}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=3182
TI - Data Aggregation Approach to Improve the Network Lifetime in wireless sensor networks
T2 - International Journal of Computer Sciences and Engineering
AU - D. Dinesh, B. Jogeswara Rao
PY - 2018
DA - 2018/11/30
PB - IJCSE, Indore, INDIA
SP - 429-433
IS - 11
VL - 6
SN - 2347-2693
ER -

VIEWS PDF XML
474 301 downloads 237 downloads
  
  
           

Abstract

The core part of Wireless Sensor Networks [WSNs] is typically sensor nodes which have the ability to carefully collect sensory information, sense, consistently process the sensitive information and communicate efficiently with other connected nodes in the established network. The network lifetime will generally depend upon these sensor nodes, which normally consist of non-rechargeable batteries. Sometimes it processes unnecessary information with high energy consumption. If more energy consumption occurs, the network lifetime is decreased. So, how to efficiently implement the wireless sensor networks to progressively improve the network lifetime is the main aim of this proposed method. In this, a mobile element based data gathering technique is used. In this method, a tinybee is typically sent from a mobile element and comes back to the mobile element with aggregated information. Hence, the tour length of the mobile element is reduced and energy can be efficiently used than the present system. Subsequently, it decreases the delay and improves the network lifetime.

Key-Words / Index Term

Wireless sensor networks, Energy, Data collection, Sensor, Network Lifetime (key words)

References

[1] Mario Di Francesco, Sajal K. Das, Giuseppe Anastasi, “Data Collection in wireless sensor Networks with Mobile Elements: A servey”, ACM Journal, Vol. V, No. N, Month 20YY, pages 0-77.
[2] Feng Wang and Jiangchuan Liu, “Networked Wireless Sensor Data Collection: Issues, Challenges, And Approaches”, IEEE Communication Survey and Tutorials for Possible Publication.
[3] Kaoru Ota and Mianxiong Dong, “Mobile-Agent Based Data gathering System in Wireless Sensor Networks”, International conference on Networking Architecture, NAS 2009, 9-11 July 2009.
[4] Diwakar, “An Energy Efficient Level Based Clustering Routing Protocol For Wireless Sensor Networks”, International Journal of Advanced smart Sensor Network System (IJASSN), vol.2, No.2, April 2012.
[5] Velmani, “An Efficient Cluster Tree Based Data Collection Scheme for Large Mobile Wireless Sensor Networks”, IEEE Sensor Journal, DO.I 10/1109.
[6] Alia Sabri and Khalil Al- Shqeerat, “Hierarchical cluster-based routing protocols for wireless sensor networks- A Survey”, International Journal of Computer Science Issue, Vol.11, No.2, January 2014.
[7] Ramesh Rajagopalan and Pramod K.Varshney, “Data aggregation techniques in sensor networks: A survey”, Communications Surveys & Tutorials, IEEE, 2006 vol.8, pp.48-66.
[8] Santar pal Singh, S.C.Sharma, “Survey on Clustering Based Routing Protocols in Wireless Sensor Networks”, in Proc.Of International conference on advanced computer technologies and Applications(ICACTA), Pp.687-695.
[9] J.Daniel Mano, Dr.S.Sathappan, “Comparison of Wireless Routing Protocols in Sensor Network Using NS2 Tool”, IJARBEST, ISSN-2395-695X, Vol.2, Special Issue 19, October 2016.
[10] Lin C., Lee B., “Exploration of Routing Protocols in Wireless Mesh Network”, In the Proceedings of the 2015 IEEE Symposium on Colossal Big Data Analysis and Networking Security, Canada, pp.111-117, 2015.
[11] Wang Liu, Kejie Lu, Jianping Wang, Guoliang Xing, and Liusheng Huang, “Performance Analysis of Wireless Sensor Networks with Sinks”. IEEE transactions on vehicular technology, vol.61, No.6, July 2012.
[12] J Soro, Heinzelman, W.B., ‘‘Prolonging the Lifetime of Wireless Sensor Networks via Unequal Clustering’’, 19th IEEE International Parallel and Distributed Processing Symposium, 2005.
[13] Javad Rezazadeh, Marjan Moradi, Abdul Samad Ismail, “Mobile Wireless Sensor Networks Overview”,IJCCN International Journal of Computer Communications and Networks , Volume 2, Issue 1, February 2012.
[14] Ming Liu, Jiannong Cao, Guihai Chen and Xiaomin Wang, “An Energy-Aware Routing Protocol in Wireless Sensor Networks,” Sensors, ISSN 1424-8220, 2009.
[15] Shi, L.Zhang, B.X.Mouftah, H.T.& Ma, J.(2013). DDRP: “An efficient data-driven routing protocol for wireless sensor networks with mobile sinks”.
[16] Chaurasiya, S.K., Pal, T., Bit, S.D., “An Enhanced Energy-Efficient Protocol with Static Clustering for WSN”. International Conference on Information Networking (ICOIN), 2011. Kuala Lumpur, Malaysia, pages: 58 – 63.
[17] Heinzelman W. B., Chandrakasan A. P., Balakrishnan H., ”An application specific protocol architecture for wireless microsensor networks,” IEEE Trans on Wireless Communications, Volume 1, No. 4, 2002, pages: 660-670.
[18] WANG Jun, Zhang, Junyuan and Zhengkun “A Distance-based Clustering Routing Protocol in Wireless Sensor Networks”, Communication Technology (ICCT), 2010, 12th IEEE International Conference, Nov. 2010.
[19] Lingyun Yuan, Xingchao Wang, Jianhou Gan, “A Data Gathering Algorithm Based on Mobile Agent and Emergent Event-Driven in Cluster-Based WSN”, Academy Publisher, Journal Of Networks, Vol. 5, No. 10, October 2010.
[20] Min Chen, Taekyoung Kwon, Yong Yuan, and Victor C.M. Leung,, “Mobile Agent Based Wireless Sensor Networks”, Academy Publisherjournal Of Computers, Vol. 1, No. 1, April 2006.
[21] Haroon Malik, Elhadi Shakshuki, “Data Dissemination in Wireless Sensor Networks Using Software Agents”, 21st International Symposium on High Performance Computing Systems and Applications. IEEE 2007.
[22] AS. Mandloi, V. Choudhary, "Study of Various Techniques for Data Gathering in WSN", International Journal of Scientific Research in Network Security and Communication, Vol.1, Issue.3, pp.12-15,2013.
[23] R. Bandaru, RS. Basavala , "Information Leakage through Social Networking Websites leads to Lack of Privacy and Identity Theft Security Issues", International Journal of Scientific Research in Computer Science and Engineering, Vol.1, Issue.3, pp.1-7, 2013.