Modified Optimization in 5G Optical Wireless Systems

In a wireless sensor network, energy and security are important to assess the performance of the network. The network lifetime depends on the efficient utilization of available sensor node energy. The proposed modified cuckoo search based resource allocation (MCS-RA) and selective encryption, reduces the distortion and provides better encryption over a wireless sensor network. MCS-RA performs network resource allocation differently among different frames. Ad hoc On-Demand Distance Vector (AODV) shaped the path to destination when obligatory and is similarly recognized as a reactive routing protocol. Individual after convinced, nodes send route unearthing message. The routes are constructed to interconnects or transmits data through every other. AODV employs a different variety of controller messages to detect the path, i.e. request (RREQ) Route Reply (RREP) and Route Error (RERR) messages. Using the modified Harris Hawks optimization, the performance of a network-based line balancing problem is improved. The assembly line optimization is performed using the modified optimization cycle multipoint crossover method to obtain the assembly line.