Job scheduling and resource planning in wireless sensor network

Devices in Internet of Things (IoT) network are connected in a systematic way to transfer data over the network. In automation it is required to process and schedule response without human or high processing power computer assistance. Devices in IoT network have unique identification (UID) and they are compact with other objects, people or animal. Wireless Sensor Network (WSN) supports the topology and transfer of information. Nodes are connected to the gateway and some cases there are same type nodes to perform same type functionality. In some automation there are huge tasks in same domain. Scheduling of tasks and response from the right node ensure performance of the network. Group of selecting sensors can participate for censing to produce better throughput. Using optimal resource in wireless sensor network is also a challenge. In this paper we propose combination Ant Colony Optimization (ACO) and priority scheduling algorithm optimal resource planning and job scheduling in wireless sensor network. GSJ: Volume 9, Issue 1, January 2021 ISSN 2320-9186 650 GSJ© 2021 www.globalscientificjournal.com GSJ: Volume 9, Issue 1, January 2021, Online: ISSN 2320-9186 www.globalscientificjournal.com