• Chamanpreet Kaur Research Scholar, Department of Computer Science and Engineering, NWIET, Moga
  • Vikramjit Singh Assistant Professor, Department of Computer Science and Engineering, NWIET, Moga


Wireless sensor networks have become increasingly popular due to their wide range of application. Clustering sensor nodes organizing them hierarchically have proven to be an effective method to provide better data aggregation and scalability for the sensor network while conserving limited energy. Minimizing the energy consumption of a wireless sensor network application is crucial for effective realization of the intended application in terms of cost, lifetime, and functionality. However, the minimizing task is hardly possible as no overall energy cost function is available for optimization. The need for energy-efficient infrastructures for sensor networks is becoming increasingly important. Wireless sensor networks are networks consisting of many sensor nodes that communicate over a wireless media. A sensor node is equipped with a sensor module, a processor, a radio module and a battery. Since the battery limits the lifetime of the sensor nodes it also limits the lifetime of the sensor network, thus energy efficiency is a major issue for sensor networks. An important goal in many sensor networks is to monitor an area as long time as possible. Hence, it is important to distribute energy consumption evenly across the network. When the energy consumption is evenly distributed, the major part of the sensor nodes will stay alive approximately equally long time.


[1] Y. Xiuwu, Fan Feisheng Zhou Lixing and Z. Feng, "WSN Monitoring Area Partition Clustering Routing Algorithm for Energy-Balanced," IEEE, pp. 80-84, 2016.
[2] S. Bera, S. Misra, Sanku Kumar Roy and Mohammad S. Obaidat, "Soft-WSN: Software-Defined WSN Management System for IoT Applications," IEEE, pp. 1-8, 2016.
[3] N. A. M. Alduais, J. Abdullah, J. Abdullah, A. Jamil and L. Audah, "An Efficient Data Collection and Dissemination for IOT based WSN," IEEE, 2016.
[4] O. Singh, V. Rishiwal and M. Yadav, "Energy Trends of Routing Protocols for H-WSN," IEEE, 2016.
[5] R. Kumari and . P. Nand , "Performance Comparison of various Routing Protocols in WSN and WBAN," IEEE, pp. 427-431, 2016.
[6] Hector Kaschel and ohanna Ortega , "Energy efficiency in routing protocols applied to WSN," IEEE, 2016.
[7] Asdianur Hadi and Ida Wahidah, "Delay Estimation using Compressive Sensing on WSN IEEE 802.15.4," IEEE, pp. 192-197, 2016.
[8] Mohd Zaki Shahabuddin, Halabi Hasbullah and Izzatdin A Aziz, "eliminary Framework of Topology Control Algorithm Ahieve Node’s Energy Efficiency," IEEE, pp. 259-263, 2016.
[9] Abhaykumar L. Gupta and Narendra Shekokar , "A Novel Approach to Improve Network Lifetime in WSN by Energy Efficient Packet Optimization," IEEE, 2016.
[10] B. Bengherbia, S. Chadli, M. Ould Zmirli and A. Toubal, "A MicroBlaze Based WSN Sink Node Using XBee Transceiver," IEEE, pp. 831-834, 2016.
[11] Gagandeep Kaur, Deepali and Rekha Kalra, "Improvement and Analys Security of WSN From Passive Attack," IEEE, pp. 4520-425, 2016.
[12] M. Wu, H. Liu and Q. Min, "Lifetime Enhancement by Cluster Head Evolutionary Energy Efficient Routing Model for WSN," IEEE, pp. 545-548, 2016.
[13] Roman Lara-Cueva, Rodolfo Gordillo, Liliana Valencia and Diego S. Ben, "Determining the Main CSMA Parameters for Adequate Performance of WSN for Real-time Volcano Monitoring System Applications," IEEE, pp. 1-9, 2016.
[14] Sanaa. S. Abd El dayem and M. R. M. Rizk , "An Efficient Authentication Protocol and Key Estashment in Dynamic WSN," IEEE, pp. 178-182, 2016.
How to Cite
KAUR, Chamanpreet; SINGH, Vikramjit. A REVIEW ON DATA COLLECTION USING MOBILE NODES IN WSN. INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY, [S.l.], v. 16, n. 5, p. 6926-6932, july 2017. ISSN 2277-3061. Available at: <https://cirworld.com/index.php/ijct/article/view/6263>. Date accessed: 23 aug. 2017. doi: https://doi.org/10.24297/ijct.v16i5.6263.