Underwater Resurrection Routing Synergy using Astucious Energy Pods

Abstract

The accomplishment of sustainable communication among source and destination sink node is a rigors challenge and even establishing bodacious communication link between these nodes is nothing short of a miracle because data routes are governed by the underwater environment. Energy consumption has a significant influence as all active devices rely on the battery. As cost-effective data packet transmission is established as a norm, no charging or replacement can be achieved. Hop link evaluation and shrewd connection discovery by way of a resurrecting linking element were just a genuinely grim task, and only feasible to create the extra powered energy pods (URR-SAEP) that had never been carried out before after detailed study. After packet transfer, the sensor node performs the link inspection process, and when a link is deemed shaky at less than or equivalent to 50 percent of capacity, the target node incorporates its residual capacity status and returns it to the source node that attaches other unoptimizable energy pods to improve only the targeted node link from 50 percent to 90 percent. Performance evaluation using NS2 with Aqua-Sim 2.0 simulator has been obtained comparing with DBR and EEDBR protocols in terms of point-to-point delay, Packet dissemination ratio, Network lifespan and Energy Diminution.

Untitled

“…Despite the attractiveness of the appearance, the economic efficiency of investments in improving the beauty is ambiguous. For the average consumer, the monetary benefits of plastic surgery, cosmetic procedures are sometimes not worth the cost [14]. In connection with discontent with one's own body and manifestations of aging, people resort to various cosmetic therapies, including plastic surgery.…”

Conversion of adverse data corpus to shrewd output using sampling metrics

“…Classification is one of the significant application fields in DM wherein the instances (records) in a dataset are grouped in more than one class. The classification can be a success or failure in the pedagogical environment or classifying flowers in different types [4]. The classifier gains knowledge from a prearranged training dataset; henceforth, to classify the instances from the unseen dataset, the class imbalance problem appears in datasets with an exceedingly unfair ratio between the classes [5].…”

Sagacious Communication Link Selection Mechanism for Underwater Wireless Sensors Network

“…The traditional terrestrial routing protocols are not well fitted in underwater environment. The optical and radio frequency interactions in such networks are generally deemed infeasible because optical signals suffer from extreme interference, while high-energy radio signals are easily absorbed due to high attenuation [6]. Establishing a communication link among deployed underwater nodes is major task of every underwater routing protocol and indeed it is a backbone of the routing mechanism.…”