Author Login IJIRT Partner Network (IPN) Login

ENERGY EFFICIENT CLUSTERING AND DATA AGGREGATION USING CUCKOO SEARCH ALGORITHM IN WSN

  • Unique Paper ID: 143544
  • Volume: 2
  • Issue: 12
  • PageNo: 278-282
  • Abstract:
  • WIRELESS sensor networks (WSNs) have been widely deployed for various applications, such as environment sensing, building safety monitoring, earthquake prediction, etc. In general WSN architecture, storage nodes aggregate data from nearby sensors and answer queries from the sink of the network which is also called as two-tiered WSN architecture. In past many routing, power management, and data scattering protocols have been particularly designed for WSNs where energy consumption is an essential design issue. In this work, we propose an energy efficient cluster formation and data aggregation using potential attribute following Cuckoo algorithm in wireless sensor network. It considers spatial & location related data as a parameter to design, dependable and reliable routing So that efficient cluster head selection and energy efficient routing both will be achieved using spatial and geographical routing.
email to a friend

Cite This Article

  • ISSN: 2349-6002
  • Volume: 2
  • Issue: 12
  • PageNo: 278-282

ENERGY EFFICIENT CLUSTERING AND DATA AGGREGATION USING CUCKOO SEARCH ALGORITHM IN WSN

Related Articles

Impact Factor
8.01 (Year 2024)
UGC Approved
Journal no 47859

Join Our IPN

IJIRT Partner Network

Submit your research paper and those of your network (friends, colleagues, or peers) through your IPN account, and receive 800 INR for each paper that gets published.

Join Now

Latest Publication

Archive

View More

Recent Conferences

NCSEM 2024

National Conference on Sustainable Engineering and Management - 2024 Last Date: 15th March 2024

Submit inquiry