Real Time Surveillance Using Wireless Multimedia Sensor Networks

Abstract

Wireless Sensor Networks are wireless networks with numerous nodes that use sensing, newlineprocessing, and communication techniques (WSN). In a WSN, all nodes do the same newlinething: they monitor, process, and transfer scalar data to the sink for further processing. newlineSurveillance, military, medical, and domestic applications have all benefited from newlinethis network monitoring and sensing capabilities. Wireless Multimedia Sensor Networks newline(WMSN) are networks that arose from WSN to address specific multimedia-related concerns. newlineThe multimedia nodes can retrieve video, audio, pictures, and scalar data, among newlineother things. All nodes in the WMSN are energy constrained. The drained battery is newlinedifficult to charge or replace, reducing the network s lifetime. newlineAs they transmit video, audio, image, and scalar data, wireless multimedia sensor newlinenodes will use more energy. For a network to function effectively, it must have a high newlinebandwidth, a high packet delivery ratio, a high throughput, a tolerable end-to-end delay, newlineacceptable jitter, a low frame loss rate, and a low computation time. The network s newlineefficiency is determined by two essential factors: network longevity and service quality. newlineIn WMSN, a few research studies have been conducted to improve the situation. newlineEven though proposals have been made to improve network lifetime in WMSN, further newlineimprovement becomes essential because WMSN gains more attraction in recent times newlinedue to the eminent real-time applications. In this thesis, the enhancements in network newlinelifetime are achieved through clustering and optimization of transmission radius using newlinenature-inspired algorithms. newlineIn the first approach, Dragonfly Algorithms and Glowworm Swarm Optimization are newlinehybridised. These algorithms are meta-heuristic, derivative-free algorithms. The cluster newlineformation, selection of cluster head and determination of transmission radius of cluster newlinehead are critical for lifetime enhancement in WMSN. The hybrid model NC-GSO is suggested newlinefor image transmission using DA and GSO algorithm. The experimental results newlineshow t