END-TO-END SECURE COMMUNICATION IN FOR WIRELESS MULTIMEDIA SENSOR NETWORKS VIA MODIFIED GORILLA TROOPS OPTIMIZER DRIVEN DATA COMPRESSION WITH ENCRYPTION APPROACH

Wireless Multimedia Sensor Networks (WMSNs) have shifted the focus from traditional scalar wireless sensor networks (WSNs) to networks equipped with multimedia devices capable of capturing images, audio, video, and scalar sensor data. WMSN can provide multimedia content owing to the availability of low-cost CMOS microphones and cameras in addition to the considerable progress in multimedia source coding and distributed signal processing techniques. In comparison to a compressed image, an uncompressed image transmission consumes more energy, and, as a result, it becomes a necessity to establish an energy-aware compression technique to prolong the sensor node and the network lifetime. Simultaneously, security encryption systems can be used to protect the data being transferred, which ensures integrity and confidentiality against tampering and unauthorized access. This study develops an Integrated Approach for Secure and Energy-Efficient Data Transmission in Wireless Multimedia Sensor Networks (IASEE-DTWMSN) technique. The purpose of the IASEE-DTWSN method is to ensure security and maximum energy efficiency in WMSN via data compression and encryption algorithms. Initially, the IASEE-DTWSN technique compresses the images captured by WMSN using a discrete cosine transform (DCT) approach. Besides, the secure transmission of the compressed data can be accomplished using an advanced encryption standard (AES) model. Furthermore, the IASEE-DTWSN technique involves the design of a Modified Gorilla Troops Optimizer (MGTO) for optimizing the DCT and AES models. The MGTO approach is applied for determining the optimum quantization parameters of the DCT methodology and encryption key selection of the AES model in such a way that the compression ratio and PSNR are maximized. To validate the performance of the IASEE-DTWSN methodology, a broad array of simulations was involved. The experimental outcomes inferred that the IASEE-DTWSN model resulted in enhanced energy efficiency and security in the WMSN.