The main goal is to find multiple node-disjoint paths that meet the multi-objective optimization problem in terms of energy consumption minimization and network lifetime improvement. Due battery-dependent nodes mobile ad hoc networks, performance will degrade. Hence, it necessary choose optimal between source destination for data transfer. Additionally, improves Quality Service (QoS) wireless n...

In wireless sensor network (WSN), the gateways which are placed far away from base station (BS) forward collected data to BS through nearer BS. This leads more energy consumption because manages heavy traffic load. So, overcome this issue, loads around be balanced by presenting efficient clustering approach. Besides, enhance lifetime of network, optimal routing path is established between sourc...

Hazardous material (Hazmat) transportation is an inseparable section of the industry, despite its major financial and health risks. In order to optimize Hazmat transportation, a multi-objective routing model with time windows employed where risk distance are minimized. Due uncertainty risk, Z-number fuzzy approach used estimate in which probability occurrence severity considered context Z-infor...

In Wireless Sensor Networks (WSNs), routing algorithms can provide energy efficiency. However, due to unbalanced consumption for all nodes, the network lifetime is still prone degradation. Hence, efficient was developed in this article by selecting cluster heads (CH) with help of adaptive whale optimization (AWOA) which used reduce time-consumption delays. The multi-objective function CH select...

Contemporary vehicle routing requires ubiquitous computing and massive data in order to deal with the three aspects of transportation such as operations, planning and safety. Out of the three aspects, safety is the most vital and this study refers safety as the reduction of CO2 emissions and hazardous risks. Hence, this paper presents a data driven multi-objective differential evolution (MODE) ...