Comprehensive study of data aggregation models, challenges and security issues in wireless sensor networks
Автор: Veena I. Puranikmath, Sunil S. Harakannanavar, Satyendra Kumar, Dattaprasad Torse
Журнал: International Journal of Computer Network and Information Security @ijcnis
Статья в выпуске: 3 vol.11, 2019 года.
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The use of wireless sensor networks has been increasing tremendously in the past decades mainly because of its applications in military, medicine, under water survey and various other fields. Depending on the applications the sensor nodes are placed in different areas and the data sensed will be sent to the base station. The process of transmitting and receiving data sensed by the sensor nodes continues till the sensors have battery life. This leads to generate data redundancy and reduces efficiency of the network. In order to overcome the limitations faced by the wireless sensor networks, the fusion of data known as data aggregation is introduced. In data aggregation, the data sensed by the various nodes are aggregated and sent to the base station as a single data packet. In this paper, a brief review on various data aggregation methods, challenges and issues are addressed. In addition to this, performance parameters of various data fusion methods to measure the efficiency of the network are discussed. The design of single aggregator models are easy compared to the multiple aggregator models. However, the security to most of the data fusion schemes is provided by using message authentication code. It also uses public keys and symmetric to achieve end to end or hop by hop encryptions.
Data Aggregation, Authentication, Wireless Network, Nodes, Redundancy
Короткий адрес: https://sciup.org/15015674
IDR: 15015674 | DOI: 10.5815/ijcnis.2019.03.05
Список литературы Comprehensive study of data aggregation models, challenges and security issues in wireless sensor networks
- M Yang, “Constructing Energy Efficient Data Aggregation Trees based on Information Entropy in Wireless Sensor Networks”, IEEE International Conference on Advanced Information Technology, Electronic and Automation Control, pp. 527-531, 2015.
- M Frej and K Elleithy, “Secure Data Aggregation Model in Wireless Sensor Networks”, IEEE International Conference on Machine Learning and Applications, pp. 332-334, 2015.
- M Bagaa, Younis and Balasingham, “Data aggregation tree construction strategies for increasing network lifetime in EH-WSN”, IEEE International Conference on Global Communications, pp.1-6, 2015.
- Sran, Kaur, Gurujeet and Sidhu, “Energy Aware chain Based Data Aggregation Scheme for Wireless Sensor network”, IEEE International Conference on Energy Systems and Applications, pp. 113-117, 2016.
- Fen Zhou, Z Chen, Song Guo and Jie Li, “Maximizing Lifetime of Data-Gathering Trees with Different Aggregation Modes in WSNs”, IEEE International Conference on Global Communications, pp. 1-6, 2015.
- Yunhe Li, Zhihua Yang, Bo Li, Qinyu Zhang, “Balanced Data Aggregation Method for WSN based on Compressed Network Coding”, IEEE International Conference on Advanced Information Management, Communications, Electronic and Automation Control, pp. 940-944, 2016.
- Camilo Lozoya, Mendoza, Torres and Miguel Grado, “Experimental Evaluation of Data Aggregation Methods Applied to Soil Moisture Measurement”, IEEE International Conference on Sensors, pp. 134-137, 2014.
- M Kamarei, M Hajimohammadi, A Patooghy and M Fazeli, “OLDA An Efficient On-Line Data Aggregation Method for Wireless Sensor Networks”, IEEE International Conference on Broadband, Wireless Computing, Communication and Application, pp. 49-53, 2013.
- Yunhe Li, Zhihua Yang and Qinyu Zhang, “Efficient Load Balance Data Aggregation methods for WSN based on Compressive Network Coding”, IEEE International Conference on Electronic Information and Communication Technology, pp. 111-115, 2016.
- Arora and T P Sharma, “In-network aggregation techniques and data management in wireless sensor networks”, International Journal of Advanced Computational Engineering and Networking, vol. 4, no.7, pp. 12-19, 2016.
- S Sirsikar and Samarth, “Issues of Data Aggregation Methods in Wireless Sensor Network”, Elsevier International Conference on Advances in Computing, Communication and Control, pp. 194-201, 2015.
- Ameya S B and Amol A Phatak, “Data Aggregation Techniques in Wireless Sensor Networks”, International Journal of Computer Applications, vol. 115, no. 10, pp. 21-24, 2015.
- T Wang, Ji Zhang, Yonglong Luo, K Zuo and X Ding, “An Efficient and Secure Itinerary based Data Aggregation Algorithm for WSNs”, IEEE International Conference on Big data, pp.433-440, 2017.
- M Yang, “Constructing Energy Efficient Data Aggregation Trees based on Information Entropy in Wireless Sensor Networks”, IEEE International Conference on Advanced Information Technology, Electronic and Automation Control, pp. 527-531, 2015.
- M B Frej and K Elleithy, “Secure Data Aggregation Model in Wireless Sensor Networks”, IEEE International Conference on Machine Learning and Applications, pp. 332-334, 2015.
- M Bagaa, M Younis and I Balasingham, “Data aggregation tree construction strategies for increasing network lifetime in EH-WSN”, IEEE International Conference on Global Communications, pp.1-6, 2015.
- S Sran, L Kaur, Gurujeet Kaur and S Sidhu, “Energy Aware chain Based Data Aggregation Scheme for Wireless Sensor network”, IEEE International Conference on Energy Systems and Applications, pp. 113-117, 2016.
- Fen Zhou, Z Chen, Song Guo and Jie Li, “Maximizing Lifetime of Data-Gathering Trees with Different Aggregation Modes in WSNs”, IEEE International Conference on Global Communications, pp. 1-6, 2015.
- Yunhe Li, Zhihua Yang, Bo Li, Qinyu Zhang, “Balanced Data Aggregation Method for WSN based on Compressed Network Coding”, IEEE International Conference on Advanced Information Management, Communications, Electronic and Automation Control, pp. 940-944, 2016.
- Camilo Lozoya, Gilberto Mendoza, Valentin Torres and Miguel Grado, “Experimental Evaluation of Data Aggregation Methods Applied to Soil Moisture Measurement”, IEEE International Conference on Sensors, pp. 134-137, 2014.
- M Kamarei, M Hajimohammadi, A Patooghy and M Fazeli, “OLDA An Efficient On-Line Data Aggregation Method for Wireless Sensor Networks”, IEEE International Conference on Broadband, Wireless Computing, Communication and Application, pp. 49-53, 2013.
- Yunhe Li, Zhihua Yang and Qinyu Zhang, “Efficient Load Balance Data Aggregation methods for WSN based on Compressive Network Coding”, IEEE International Conference on Electronic Information and Communication Technology, pp. 111-115, 2016.
- Arora and T P Sharma, “In-network aggregation techniques and data management in wireless sensor networks”, International Journal of Advanced Computational Engineering and Networking, vol. 4, no.7, pp. 12-19, 2016.
- S Sirsikar and Samarth, “Issues of Data Aggregation Methods in Wireless Sensor Network”, Elsevier International Conference on Advances in Computing, Communication and Control, pp. 194-201, 2015.
- Ameya and Amol Phatak, “Data Aggregation Techniques in Wireless Sensor Networks”, International Journal of Computer Applications, vol. 115, no. 10, pp. 21-24, 2015.
- T Wang, Ji Zhang, Yonglong Luo, K Zuo and X Ding, “An Efficient and Secure Itinerary based Data Aggregation Algorithm for WSNs”, IEEE International Conference on Big data, pp.433-440, 2017.
- Limin Shen, Jainfeng Ma, Ximeng Liu, Fushan Wei and Meixia Miao, “A Secure and Efficient ID-based Aggregate Signature Scheme for Wireless Sensor Networks”, IEEE International Journal on Internet of Things, vol. 4, no. 2, pp. 546-554, 2017.
- Ivan P, H Kalutarage, Yan Huang and Paul Miller, “A Fuzzy Multi-criteria Aggregation Method for Data Analytics: application to Insider Threat Monitoring” IEEE International conference on soft computing and intelligent systems, pp. 27-30, 2017.
- Yao-Yu, Tong Lin, Tan N guyen, Shao Chu, Bing Liu and Van Pham, “A new Overlap Circle Technique for reducing Data Aggregation time in Wireless Sensor Networks”, IEEE International Conference on System Science and Engineering, pp. 546-549, 2017.
- B Karthikeyan, R Kumar and Srinivasa Rao, “Energy Efficient Data compression and Aggregation Technique for Wireless sensor Networks”, IEEE International Conference on next generation electronic technologies, pp. 209-212, 2017.
- Haneul Ko, J Lee and S Pack, “Consistency Guaranteed and Energy Efficient Sleep Scheduling Algorithm with Data Aggregation for IOT”, IEEE International Conference on Wireless Communication, pp. 1-5, 2017.
- Youssef and R Yadav, “Survey on Several Secure Data Aggregation Schemes in WSN”, International Journal of Current Engineering and Technology, vol.6, no.4, pp.1154-1159, 2016.
- Akyildiz, W Su, Sankarasubraman and Cayirci, “A Survey on Sensor Networks,” IEEE Communications Magazine, vol. 40, no. 8, pp. 102-114, 2002.
- Kiran Maraiya, Kamal Kant and Nitin Gupta “Architectural Based Data Aggregation Techniques in Wireless Sensor Network: A Comparative Study”, International Journal on Computer Science and Engineering, vol. 3, no. 3, 2011.
- V Pandey, A Kaur and N Chand, “A review on data aggregation techniques in wireless sensor network”, International Journal of Electronic and Electrical Engineering, vol. 1, no. 2, 2010.
- Sumit C, Neha Singh, A Pathak and A K Vatsa, “Energy Efficient Techniques for Data aggregation and collection in WSN”, International Journal of Computer Science, Engineering and Applications, vol. 2, no. 4, 2012.
- Wen Liao and Hung Yang, “Energy-efficient Data Storage Scheme in Wireless Sensor Networks”, IEEE International Conference Network Operations and Management Symposium, pp. 478-481, 2012.
- Guorui Li and Ying Wang, “Efficient Data aggregation scheme leveraging time series prediction in WSN”, International Journal of Machine learning and Computing, vol. 1, no. 4. pp. 372-377, 2011.
- Prakash Patil and U Kulkarni, “SVM based Data Redundancy elimination for Data Aggregation in Wireless Sensor Networks”, IEEE International Conference on Advances in Computing, Communications and Informatics, pp. 1-6, 2013.
- D Mantri, Neeli R P and Ram Prasad, “Bandwidth Efficient Heterogeneity aware Cluster based Data Aggregation in Wireless Sensor Networks”, Springer International Journal on Wireless Personal Communications, vol. 76, no. 3, pp. 335-349, 2014.
- Basavaraj S M and S R Patil, “Energy Efficient Reliable Data Aggregation Technique for Wireless Sensor Networks”, IEEE International Conference on Advanced Communication Control and Computing Technologies, pp. 246-250, 2016.
- Sahana S and Amrutha R, “Data Aggregation In Wireless Sensor Networks”, Book on Data Aggregation in Wireless Sensor Networks, pp. 1-6, 2014.
- Bharuka K and Jinwala, “A Secured Data Aggregation Protocol for outlier detection in Wireless Sensor Networks using Aggregate message authentication code”, Book on Secured Data Aggregation Protocol in Wireless Sensor Networks, pp. 1-6, 2014.
- M. Dagar and S Mahajan, “Data Aggregation in Wireless Sensor Network: A Survey”, International Journal of Information and Computation Technology, vol. 3, no. 3, pp. 167-174, 2013.
- Rajashri Khannai, Salma S and Dattaprasad T, “Performance Analysis of Underwater Acoustic Communication using IDMA- OFCM- MIMO with Reed Solomon and Turbo Codes”, International Journal Computer Network and Information Security, pp 41-46, 2018.