Abstract-Coverage area and network lifetime are major problems in wireless multimedia sensor networks (WMSN). In order to optimize the network coverage and maximize the network's lifetime, we propose a coverage-enhancing algorithm based on sensors' priority. To increase the lifetime of the network, the density of distributed sensors could be such that a subset of sensors can cover the required air space. The sensors are prioritized based on their visual and Communicative properties and the selection is performed according to the prioritizing function. Simulation results show that the proposed algorithm achieves more effective enhancement on network coverage compared to the existing algorithm.
For wireless visual sensor networks, due to high redundancy incurred, it is possible to both preserve energy and enhance coverage quality by first switching off some sensors and then adjusting the orientations of the remaining ones. In this paper, we propose a novel method to automatically configure WVSN in order to maximize coverage and network lifetime in indoor environments. Based on a suitable modeling of cameras and environment, the optimization procedure determines the most appropriate camera position and settings to fulfill a given coverage objective. To achieve this goal, we use a particle swarm optimizer with an appropriate fitness function that takes into account a number of concurrent metrics and constraints. Simulation results show that our proposed approach has greater energy efficiency and can extend the network lifetime, as compared with prior approaches.
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.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.