International Journal of Computer Applications |
Foundation of Computer Science (FCS), NY, USA |
Volume 156 - Number 11 |
Year of Publication: 2016 |
Authors: Reepu Daman, Preety Chaudhary, Rakesh Kumar |
10.5120/ijca2016912551 |
Reepu Daman, Preety Chaudhary, Rakesh Kumar . Data Aggregation and Life Time Improvement in wireless Sensor Networks using Dynamic Clustering. International Journal of Computer Applications. 156, 11 ( Dec 2016), 6-10. DOI=10.5120/ijca2016912551
Wireless sensor network is an emerging area of research due to vulnerability of sensing information from not approachable areas. In WSN sensor nodes have been deployed for sensing information and transmit this information to base station so that various decisions can be developed. In the processing of WSN data aggregation and energy consumption are major issues. In this paper a new approach has been purposed for data management and energy consumption reduction using dynamic clustering and avoidance ofredundant information transmission over the network. This approach use check sum approach for data redundancy checking and discard redundant or repeated information. This approach provides better results than previous approaches.