Foraging models based optimized scheduling and routing for software defined networks in internet of things

Abstract

With the development of Internet of Things (IoT), information processing in internet of resources has been tremendous. However, many services and resources which are geographically pervasive in the network lead to mitigation in workload in data processing, specifically in the Wireless Sensor Networks (WSNs). Unbalanced scheduling leads to traffic load, loss of energy and hardware control failure. In addition, resident s devices often are not considered to reduce power consumption delay. Internet of things rule current trends of the Internet. Huge number of things (objects), which are associated with the Internet, produces a large amount of information that needs more exertion and task preparation to make it valuable. In addition, association and control of this enormous volume of information requires original thoughts in the plan and executives of the IoT system to quicken and improve its presentation. The software-defined system is another world view that appeared recently to overcome all complexities in traditional system architecture by abstracting all the controls and management operations from the underlying devices. newlineIn the previous works newline