References
[3]. Cheikh, E., & Abderrahmane, H. (2014). Energy
efficient enhancement of TDEEC wireless sensors network
protocol based on passive RFID implementation.
International Journal of Advanced Research in Computer
and Communication Engineering, 3(5), 6647- 6653.
[5]. Hasan, S., Hussain, Z., & Singh, R. K. (2013). A survey of wireless sensor network. International Journal of Emerging
Technolgy and Advanced Engineering, 3(3), 487-492.
[8]. Kaur, A., & Kaur, H. (2017). A review on a hybrid
approach using mobile sink and fuzzy logic for region
based clustering in WSN. International Journal, 16(2),
7586-7590.
[9]. Krishnamachari, B. (2005, January). An introduction
to wireless sensor networks. In Second International
Conference on Intelligent Sensing and Information
Processing (ICISIP), Chennai, India (pp. 1-101).
[10]. Kumar, R., & Kaur, R. (2014). Evaluating the
Performance of DEEC variants. International Journal of
Computer Applications, 97(7).
[14]. Maraiya, K., Kant, K., & Gupta, N. (2011). Efficient
cluster head selection scheme for data aggregation in
wireless sensor network. International Journal of Computer
Applications, 23(9), 10-18.
[15]. Nadeem, Q. (2013). A New Energy Efficient Protocol
for Wireless Body Area Networks (Master thesis, MS
Comsats Institute of Information Technology, Islamabad,
Pakistan).
[16].
Nadeem, Q., Rasheed, M. B., Javaid, N., Khan, Z. A.,
Maqsood, Y., & Din, A. (2013, October). M-GEAR:
Gateway-based energy-aware multi-hop routing
protocol for WSNs. In 2013 Eighth International
Conference on Broadband and Wireless Computing,
Communication and Applications (pp. 164-169). IEEE.
[17]. Perillo, M. A., & Heinzelman, W. B. (2005). Wireless
Sensor Network Protocols. In Handbook of Algorithms for
Wireless Networking and Mobile Computing, CRC Hall,
New York (pp. 1-35).
[18]. Prajapat, M., & Barwar, N. C. (2014). Performance
analysis of energy dissipation in WSNs using multi-chain
PEGASIS. International Journal of Computer Science
Information Technolgy, 5(6), 8033-8036.
[24].
Weil, S. A., Brandt, S. A., Miller, E. L., & Maltzahn, C.
(2006, November). CRUSH: Controlled, scalable,
decentralized placement of replicated data. In
Proceedings of the 2006 ACM/IEEE Conference on
Supercomputing (pp. 122-es).