Integrated energy-efficient routing and secure data management for location-aware wireless sensor networks with PFO leveraged improved fuzzy unequal clustering algorithm (IFUC)

Combining energy-efficient routing with secure data management for LAWSNs represents a challenging research domain and an emerging scientific paradigm. This approach includes various elements, for example, data collection, asymmetrical clustering and hybrid optimization as well as a model of the combined encryption Wireless Sensor Networks (WSNs). In the process of data collection, sensor nodes will sense environmental information (temperature, humidity, etc.), sample regularly and fuse to detect redundancy information for power saving. Geospatial clustering with IFUC is important in location-aware routing. This approach overcomes the hot spot problem and provides energy-efficient management of traffic within and between clusters by optimizing cluster sizes based on their access to the base station. Here, a hybrid encryption model is presented to combine asymmetric RSA with symmetric data encryption standard (3DES) encryption in order to carry out absolute encrypted data transmission, minimizing the probability of unauthorized accessible information. All the keys are systematically managed, periodically renewed, and handpicked through the phoenix fusion optimiser (PFO). The data transfer process is about the encryption of data by hardcoded keys and how this encrypted information is sent on the best route possible. The cluster heads (CHs) fuse data in clusters to minimize the redundant transmission of data. This data is then shared along the inter-cluster pathways to become a base station. A holistic energy-efficient, secure and optimized data handling solution tailored for location-aware wireless sensor networks (WSN) is thus proposed, extending the lifespan and enhancing the efficiency of the network using an integrated strategy.