An Efficient Data Aggregation Technique for Green Communication in WSN

An Efficient Data Aggregation Technique for Green Communication in WSN

  IJETT-book-cover  International Journal of Engineering Trends and Technology (IJETT)          
  
© 2021 by IJETT Journal
Volume-69 Issue-3
Year of Publication : 2021
Authors : D. Anita Daniel, S. Emalda Roslin
DOI :  10.14445/22315381/IJETT-V69I3P222

Citation 

MLA Style: D. Anita Daniel, S. Emalda Roslin "An Efficient Data Aggregation Technique for Green Communication in WSN" International Journal of Engineering Trends and Technology 69.3(2021):138-146. 

APA Style:D. Anita Daniel, S. Emalda Roslin. An Efficient Data Aggregation Technique for Green Communication in WSN  International Journal of Engineering Trends and Technology, 69(3),138-146.

Abstract
Wireless Sensor Networks (WSNs) progressively participate in many applications. Green communication is the actual application of selecting the energy-efficient method for exchanging the information, networking technologies, and services, minimizing resources used whenever possible in all communications present in WSN. The major issues in WSN are the communication overhead and energy efficiency of each individual sensor node. It should be made to ensure that the valid data is being shared to avoid any remarkable degradation in system function because of faulty or inexact information. It will create confidentiality, a more secured network in which all devices are recognized and no data drawn from an unknown device. To have a protected WSN that is able to withstand malicious trust attacks, contribute an efficient data aggregation technique (EDAT) to enhance the packet delivery ratio in the network while reducing the time to segregate any malicious behavior focusing the trust in the entire network. The detailed evaluation acquired from the theoretical interpretation and the experimental simulations exhibit that the technique can bring down the communication overhead, energy consumption of the network and protect the information from reaching a compromise when compared with the existing schemes.

Reference
[1] S.Kumar, V.Kumar, O.Kaiwartya, U.Dohare, N.Kumar, and J.Lloret., Towards green communication in wireless sensor network: GA enabled distributed zone approach, Ad Hoc Networks, 93 (2019) 101903.
[2] Reza Soosahabi, Dmitri Perkins., Optimal Probabilistic Encryption for Secure Detection in Wireless Sensor Networks, IEEE Transactions on Information Forensics and Security, 9(3) (2014).
[3] Anita Daniel. D, Emalda Roslin. S., A Review on Existing Security Frameworks with Efficient Energy Preservation Techniques in Wireless Sensor Networks, IEEE International Conference on Communication and Signal Processing (ICCSP’15), https://doi.org/10.1109/iccsp.2015.7322571 (2015) 661-665,
[4] Huang Lu, Jie Li, Mohsen Guizani., Secure and Efficient Data Transmission for Cluster-Based Wireless Sensor Networks, IEEE Transactions on Parallel and Distributed Systems, 25(3) (2014).
[5] Kortas, M., Habachi, O., Bouallegue, A., Meghdadi, V., Ezzedine, T., & Cancel, J.-P., Energy-Efficient Data Gathering Schema for Wireless Sensor Network: A Matrix Completion Based Approach, International Conference on Software, Telecommunications and Computer Networks, (2019) .https://doi.org/10.23919/SOFTCOM.2019.8903635
[6] Masanari Iwata, Suhua Tang, and Sadao Obana., Energy-Efficient Data Collection Method for Sensor Networks by Integrating Asymmetric Communication and Wake-Up Radio, Sensors,18(1121) (2018). https://doi.org/10.3390/s18041121
[7] Tristan Daladier Engouang, Yun Liu, and Zhenjiang Zhang., GABs: A Game-based Secure and Energy-Efficient Data Aggregation for Wireless Sensor Networks, International Journal of Distributed Sensor Networks, Article ID 658543, (2015).
[8] M. Roseline Juliana, S.Srinivasan., SELADG: Secure Energy Efficient Location-Aware Data Gathering Approach For Wireless Sensor Networks, International journal on smart sensing and intelligent systems, 8(3) (2015).
[9] Jong-Min Kim, Hong Sub Lee, Junmin Yee, and Minho Park., Power Adaptive Data Encryption for Energy-Efficient and Secure Communication in Solar-Powered Wireless Sensor Networks, Journal of Sensors, Article ID 2678269, (2016).
[10] Anita Daniel. D, Emalda Roslin. S., Data validation and integrity verification for trust-based data aggregation protocol in WSN, Microprocessors, and Microsystems, 103354, (80) (2021). https://doi.org/10.1016/j.micpro.2020.103354
[11] Khorasani, F., & Naji, H. R., Energy-efficient data aggregation in wireless sensor networks using neural networks, International Journal of Sensor Networks, 24(1) (2017).
[12] https://doi.org/10.1504/IJSNET.2017.084207
[13] Liu, X., Yu, J., Zhang, X., Energy-efficient privacy-preserving data aggregation protocols based on slicing, EURASIP Journal on Wireless Communications and Networking Article, 19 (2020). https://doi.org/10.1186/s13638-020-1643-6
[14] Ali, I., Khan, E., & Sabir, S., Privacy-preserving data aggregation in resource-constrained sensor nodes in the Internet of Things: A review, Future Computing and Informatics Journal, 3(1) (2018) 41–50.
[15] https://doi.org/10.1016/j.fcij.2017.11.004
[16] Joyce Jose, Josna Jose, M. Prince, “A Survey on Privacy-Preserving Data Aggregation Protocols for Wireless Sensor Networks,” Journal of Computer and Information Technology, Vol. 22, No.1 (2014) https://doi.org/10.2498/cit.1002318
[17] Anish Soni and Rajneesh Randhawa., OSDAP- Optimized and Secure Data Aggregation Protocol for Wireless Sensor Networks, International Journal of Applied Engineering Research ISSN 0973-4562, 13(5) (2018) 3027-3033.
[18] Keyur Parmar and Devesh C. Jinwala., Symmetric-Key Based Homomorphic Primitives for End-to-End Secure Data Aggregation in Wireless Sensor Networks, Journal of Information Security, 6 (2015) 38-50.
[19] Prathima, Shiv Prakash T, Venugopal K, R.S. S. Iyengar, and L. M. Patnaik., ADA: Authenticated Data Aggregation in Wireless Sensor Networks, International Journal of Computer Applications (0975 – 8887), 167(7) (2017).
[20] Abdul Razak and Syed S. Rizvi., Secure Data Aggregation Using Access Control and Authentication for Wireless Sensor Networks, Elsevier, Computers & Security, http://dx.doi.org/doi: 10.1016/j.cose.2017.07.001, (2017).
[21] Jong Min Kim, Hong Sub Lee, Junmin Yee, and Minho Park., Power Adaptive Data Encryption for Energy-Efficient and Secure Communication in Solar-Powered Wireless Sensor Networks, Journal of Sensors, Article ID 2678269, (2016).
[22] T.V.Suresh Kumar, Dr.Prabhu G Benakop., A Secure Routing Protocol for MANET using Neighbor Node Discovery and Multi Detection Routing Protocol, International Journal of Engineering Trends and Technology, 68(7) (2020) 50-55.
[23] Wei Min,Chen Ruixiang and He Shunbin., A Secure Data Aggregation Approach in Hierarchical Wireless Sensor Networks, ACM, IMCOM `16, January, Danang, VietNam, (2016) 4-6.
[24] Jitendra Kurmi, Ram Singar Verma and Sarita Soni., An Approach for Data Aggregation Strategy in Wireless Sensor Network using MAC Authentication, Advances in Computational Sciences and Technology, ISSN 0973-6107, 10(5) (2017)1037-1047.
[25] Anita Daniel D., Emalda Roslin S., An Efficient Trust-Based Secure Data Aggregation Technique In WSN, Indian Journal Of Computer Science and Engineering, 12(1) (2021) 78-286. https://doi.org/10.21817/indjcse/2021/v12i1/211201227
[26] Dr. Mohammed Ali Hussain, Dr. Balaganesh Duraisamy., Review on Packet drop prevention in MANET by counter-based digester ACK, International Journal of Engineering Trends and Technology 68(8) (2020) 102-107.
[27] Ajay Sikandar, R. Agrawal, M. K. Tyagi, A. L. N. Rao, M. Prasad, and M. Binsawad., Toward green computing in wireless sensor networks: prediction-oriented distributed clustering for non-uniform node distribution, EURASIP Journal on Wireless Communications and Networking, (2020). https://doi.org/10.1186/s13638-020-01788-0
[28] Farah Kandah, Jesse Whitehead, and Peyton Ball., Towards trusted and energy-efficient data collection in unattended wireless sensor networks, Wireless Networks, (2020). https://doi.org/10.1007/s11276-020-02394-0)
[29] Gulzar Mehmood, Muhammad Zahid Khan, Abdul Waheed, Mahdi Zareei and E.M. Mohamed., A Trust-Based Energy-Efficient and Reliable Communication Scheme for Remote Patient Monitoring in Wireless Body Area Networks IEEE Access, 8 (2020).
[30] Syed Gul Shah, Atiq Ahmed, Ihsan Ullah, and Waheed Noor., A Novel Data Aggregation Scheme for Wireless Sensor Networks, International Journal of Advanced Computer Science and Applications, 10(2) (2019).

Keywords
Base Station, Cluster Head, Data Aggregation, Security, Wireless Sensor Networks.