ENERY EFFICIENT NEW DATA AGGREGATION METHOD FOR IoT
Keywords:
Data aggregation, Internet of Things, Power productivity, Power utilization, Network lifetime.Abstract
Energy Efficiency is one of the essential difficulties in remote sensor arrange (WSNs) provisioning for continuous information, for example, sound and video in huge Internet of Things. Information collection based plans are exceptionally utilized so as to keep up attractive assistance nature of the detected information from the earth, such plans accumulate and total information parcels in an effective way in order to build arrange lifetime, lessen power utilization, organize overhead, traffic clog, and information exactness, and so forth. In this paper, a power effective hybrid information aggregation (PEHDA) plot is proposed. The proposed conspire consolidates a portion of the attentional highlights of the group and tree-based information collection plans while tending to a portion of their significant restrictions. Reproduction results show that power effective hybrid data aggregation (PEHDA) beats group and tree-based conglomeration conspires regarding power utilization, arrange lifetime, and transmission inactivity.
Downloads
References
1.Conference proceeding
Azharuddin M, Kuila P, Jana PK (2015) Energy efficient fault tolerant clustering and routing algorithms for wireless sensor networks. Comput Electr Eng 41:177–190.
2. Conference proceeding
Bahi JM, Makhoul A, Medlej M (2014) A two tiers data aggregation scheme for periodic sensor networks. Ad-hoc & Sensor Wireless Networks 21(1-2):77–100.
3. Conference proceeding
Geetha V, Kallapur PV, Tellajeera S (2012) Clustering in wireless sensor networks: performance comparison of LEACH & LEACH-C protocols using NS2. Procedia Technol 4:163–170.
6.2.Journal Article
Heinzelman WB, Chandrakasan AP, Balakrishnan H (2002) An application-specific protocol architecture for wireless microsensor networks. IEEE Trans WirelCommun 1(4):660–670.
5. Journal Article
Heinzelman WR, Chandrakasan A, Balakrishnan H (2000) Energy-efficient communication protocol for wireless microsen-sor networks. In: 33rd annual Hawaii international conference on System sciences, IEEE, pp 10–19.
6. Journal Article
Karthikeyan B, Velumani M, Kumar R, Inabathini S (2015) Analysis of data aggregation in wireless sensor network. In: 2nd international conference on electronics and communication systems (ICECS), pp 1435–1439.
7. Journal Article
Kaur S, Gangwar R (2016) A study of tree based data aggregation techniques for WSNs. International Journal of Database Theory and Application 9(1):109–118.
8. Journal Article
Keswani K, Bhaskar A (2016) Wireless sensor networks: a survey. Futuristic Trends in Engineering, Science, Humanities, and Technol-ogy (FTESHT)
pp 1–7.
9. Journal Article
Mantri D, Prasad NR, Prasad R, Ohmori S (2012) Two tier cluster based data aggregation (TTCDA) in wireless sensor network. In: International conference on advanced networks and telecommuncations systems (ANTS), IEEE, pp 117–122.
10. Journal Article
Meng L, Zhang H, Zou Y (2011) Data aggregation transfer pro-tocol based on clustering and data prediction in wireless sensor networks. In: 7th international conference on wireless communi-cations, networking and mobile computing (WiCOM), IEEE, pp 1–5.
11. Journal Article
Misra G, Kumar V, Agarwal A, Agarwal K (2016) Internet of things (IoT) technological analysis and survey on vision, concepts, challenges, innovation directions, technologies, and applications. American Journal of Electrical and Electronic Engineering 4(1):23–32.
12. Chapter in a Book
NS (2009) Network simulator-NS2. http://www.isi.edu/nsnam/ns.
13. Conference proceeding
Pandey V (2010) A review on data aggregation techniques in wireless sensor network. J Electron Electr Eng 1(2):1–8.
14. Journal Article
Pantazis N, Nikolidakis S, Vergados D (2013) Energy-efficient routing protocols in wireless sensor networks: a survey. IEEE CommunSurv Tutorials 15(2):551–591.
15. Journal Article
Rahman H, Ahmed N, Hussain MI (2016) A hybrid data aggregation scheme for provisioning Quality of Service (QoS) in Internet of Things (IoT). In: 2016 cloudification of the internet of things (CIoT), pp 1–5.
16. Conference proceeding
Rajasekaran A, Nagarajan V (2016) Improved cluster head selection for energy efficient data aggregation in sensor networks. Int J Appl Eng Res 11(2):1379–1385.
17. Journal Article
.Ray A, De D (2012) Data aggregation techniques in wireless sensor network: a survey. International Journal of Engineering Innovation and Research 1(2):81–92.
18. Journal Article
Sain.i S, Singh RS, Gupta V (2010) Analysis of energy efficient routing protocols in wireless sensor networks. International Journal of Computer Science and Communications 1(1):113–118.
19. Conference proceeding
Satapathy SS, Sarma N (2006) TREEPSI: tree based energy efficient protocol for sensor information. In: International conference on wireless and optical communications networks, IFIP, pp 4–7.
20. Conference proceeding
Sirsikar S, Anavatti S (2015) Issues of data aggregation methods in wireless sensor network: a survey. Procedia Computer Science 49:194–201.
21. Journal Article
Solis I, Obraczka K (2004) The impact of timing in data aggregation for sensor networks. In: International conference on communications, IEEE, vol 6, pp 3640– 3645.
22. Journal Article Younis O, Fahmy S (2004) HEED: a hybrid, energy-efficient, distributed clustering approach for ad hoc sensor networks. IEEE Trans Mob Comput 3(4):366–379.
23. Conference proceeding
Zeng D, Guo S, Cheng Z (2011) The web of things: a survey. J Commun 6(6):424–438.
Downloads
Published
How to Cite
Issue
Section
License
You are free to:
- Share — copy and redistribute the material in any medium or format for any purpose, even commercially.
- Adapt — remix, transform, and build upon the material for any purpose, even commercially.
- The licensor cannot revoke these freedoms as long as you follow the license terms.
Under the following terms:
- Attribution — You must give appropriate credit , provide a link to the license, and indicate if changes were made . You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
- No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
Notices:
You do not have to comply with the license for elements of the material in the public domain or where your use is permitted by an applicable exception or limitation .
No warranties are given. The license may not give you all of the permissions necessary for your intended use. For example, other rights such as publicity, privacy, or moral rights may limit how you use the material.