Progressive Firefly Mating Optimization Technique to generate reliable data for Internet of Underwater Wireless Sensor Networks and Heterogeneous Wireless Sensor Network

  • A. Amudeshwaran, Dr. G. Baskar

Abstract

Energy-useful and strong data gathering using significantly stable associations in lowered distant sensor associations (UWSNs) is trying an aftereffect of general setting subordinate correspondence characteristics of the acoustic channel. In this paper, we propose a unique novel firefly mating progression awakened coordinating arrangement called FFRP for the snare of UWSNs-based events noticing applications. The proposed FFRP plot during the event of data gathering uses a self-learning based incredible firefly mating smoothing out knowledge to find the significantly consistent and strong guiding ways of flowing packs around accessibility voids and shadow zones in UWSNs. The proposed plot during passing on information restricts the high energy usage and lethargy issues by changing the data traffic load consistently in a huge degree association. In expansions, the data transmission over significantly stable associations between acoustic centers fabricates the overall packages movement extent and association throughput in UWSNs. A couple of amusement tests are finished to affirm the suitability of the proposed contrive against the current plans through matlab in UWSNs. The exploratory outcomes show the better show of the made show the extent that high packages movement extent (PCP) and association throughput (OT) with low torpidity and energy usage (EU) stood out from existing controlling shows in UWSNs.

Published
2021-11-15
How to Cite
A. Amudeshwaran, Dr. G. Baskar. (2021). Progressive Firefly Mating Optimization Technique to generate reliable data for Internet of Underwater Wireless Sensor Networks and Heterogeneous Wireless Sensor Network. Design Engineering, 12464 - 12481. Retrieved from http://www.thedesignengineering.com/index.php/DE/article/view/6328
Section
Articles