Security problems in Wireless Sensor Network (WSN) are still open-end problems. Qualitative evaluation of the existing approaches of security in WSN shows adoption of either complex cryptographic use or attack-specific solution. As WSN is an integral part of upcoming Internet-of-Things (IoT), the attack scenario becomes more complicated owing to the integration of two different forms of networks and so is for the attackers. Therefore, this paper introduces a novel secure communication technique that considers time, energy, and traffic environment as prominent constraints to perform security modeling. The proposed solution designed using analytical methodology has some unique capability to resist any form of illegitimate queries of network participation and yet maintain a superior form of communication service. The simulated outcome shows that the proposed system offers reduced end-to-end delay and highest energy retention as compared to other existing security approaches.
Airborne Light Detection and Ranging (LiDAR) provides accurate height information for objects on the earth, which makes LiDAR become more and more popular in terrain and land surveying. In particular, LiDAR data offer vital and significant features for land-cover classification which is an important task in many application domains. Aerial photos with LiDAR data were processed with genetic algorithms not only for feature extraction but also for orthographical image. DSM provided by LiDAR reduced the amount of GCPs needed for the regular processing, thus the reason both efficiency and accuracy are highly improved. LiDAR is an acronym for Light Detection and Ranging, which is typically defined as an integration of three technologies into a single system, which is capable of acquiring a data to produce accurate Digital Elevation Models.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2025 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.