Research Article
Hybrid Energy Unequal Layered Data Aggregation Technique in Wireless Sensor Networks
|
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
|
| Volume 179 - Issue 39 |
| Published: May 2018 |
| Authors: Poonam Tailor, Amit Kumar |
10.5120/ijca2018916822
|
Poonam Tailor, Amit Kumar . Hybrid Energy Unequal Layered Data Aggregation Technique in Wireless Sensor Networks. International Journal of Computer Applications. 179, 39 (May 2018), 48-51. DOI=10.5120/ijca2018916822
@article{ 10.5120/ijca2018916822,
author = { Poonam Tailor,Amit Kumar },
title = { Hybrid Energy Unequal Layered Data Aggregation Technique in Wireless Sensor Networks },
journal = { International Journal of Computer Applications },
year = { 2018 },
volume = { 179 },
number = { 39 },
pages = { 48-51 },
doi = { 10.5120/ijca2018916822 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2018
%A Poonam Tailor
%A Amit Kumar
%T Hybrid Energy Unequal Layered Data Aggregation Technique in Wireless Sensor Networks%T
%J International Journal of Computer Applications
%V 179
%N 39
%P 48-51
%R 10.5120/ijca2018916822
%I Foundation of Computer Science (FCS), NY, USA
Abstract
Wireless sensor networks in Current research trends mostly focuses on energy, storage and types of data due to random nature of field deployment of sensor nodes and broad area of applications such as monitoring different kind of systems, medical patient monitoring, many others areas where data will occur static, dynamic or in any form. With the applications areas, the interest of sensor networks with balanced energy, reduced link traffic and handling of different types of data with the storage efficient wireless sensor network is required. Form this Hybrid energy node layered data aggregation technique in wireless sensor networks is proposed for unequal distant region according to communication distance region with the unequal distributed energy among the sensor nodes in the field that minimizes number of dead nodes with average energy of the nodes and maximizes number of packets transferred to the sink.
References
- Feng Zhao and Leonidas Guibas- e-book: “ Wireless Sensor Networks: An Information Processing Approach”
- [2.] Akyildiz, I. F., Su, W., Sankarasubramaniam, Y., & Cayirci, E. (2002). Wireless sensor networks: a survey.
- R. Rajagopalan, P. Varshney, Data aggregation techniques in sensor networks: a survey, IEEE Communication.
- Abbasi, A. A., & Younis, M. (2007). A survey on clustering algorithms for wireless sensor networks.
- W.R. Heinzelman, A. Chandrakasan, H. Balakrishnan, Energy-efficient communication protocol for wireless microsensor networks, in:Proceedings of the 33rd Annual Hawaii International Conference on System Sciences.
- Smaragdakis, G., Matta, I., & Bestavros, ASEP: A. stable election protocol for clustered heterogeneous wireless sensor networks. Boston (2004). University Computer Science Department.
- Aderohunmu, F. A., & Deng, J. D. An Enhanced Stable Election Protocol (SEP) for Clustered Heterogeneous WSN (No. 2009/07)
- Qing, L., Zhu, Q., & Wang, M. (2006). Design of a distributed energy-efficient clustering algorithm for heterogeneous wireless sensor networks.
- Manjeshwar, A., & Agrawal, D. P. (2001, April). TEEN: a routing protocol for enhanced efficiency in wireless sensor networks.
Index Terms
Keywords