Energy search optimization multiple nodes algorithm for building monitoring system using hybrid wireless sensor networks protocol

• Main Authors: Gouri, M. S., Das, Nishi S., Akhil, K. K., Geethumol, P. V., Thomas, Rose Mary
• Format: Conference Proceeding
• Language: English
• Subjects: Algorithms; Clusters; Computer simulation; Data collection; Data loss; Data transmission; Energy levels; Graph theory; Hybrid systems; Life span; Monitoring; Monitoring systems; Neural networks; Nodes; Optimization; Searching; Sensors; Shortest-path problems; Wireless sensor networks
• ISSN: 0094-243X; 1551-7616
• DOI: 10.1063/5.0171101

A wireless sensor network is preferable to a wired one for a smart building monitoring system since it is less expensive. The building monitoring system employs a hybrid protocol based on the LEACH concept for extending the life of sensor networks and the HRP protocol for efficient data collecting and connection with the base station. The building’s infrastructure can support a huge number of sensors organised into multiple clusters. During the first stage, while the other sensors are dormant, the cluster head sensor activates a subset of member sensors to collect data. This extends the lifespan of the sensor network. Several more sensors are engaged to collect additional data for the Cluster Head in the event of an anomaly. Neural networks feature the right separation of information from cluster member nodes and communication between them. Information Collection Nodes (ICN) and Energy Search Optimization Monitoring Nodes (EOSMN)are added to each cluster in order to monitor energy levels and isolate data from cluster member Nodes in order to lessen the workload on the cluster head node. Modified minimum spanning tree algorithm selects the shortest and most advantageous path between two end nodes. The Energy search optimization algorithm examines the node information each time data is delivered to eliminate data loss entirely. During data transmission, any node can travel from its initial position, consume energy, and transform into a busy node to aid in the transmission of another node. Using the EOSMN-MSPE - method, the shortest path between the source and target nodes is determined. A network simulation is conducted using the NS2 software to develop the ESOMN algorithm. Validation and evaluation are performed on the simulation’s outcomes. A hybrid protocol is developed to extend the lifespan of the Building Monitoring System and assure effective transmission. Sensory data transmitted to the Wireless Sensor Network Sink Node