An Energy Efficient Long Hop Load Balancing Priority Scheduling (LHLBPS)

Abstract

Internet of Things is a new technology which can be applied almost in every field of life. More concretely, IoT associated with wireless telecommunications. Due to which immense bulk of object can converse with each other with or without people interaction. IoT present an idea for the mastery of network to feel and recognize data from the environment. This paper suggests a LHLBPS a power efficient message scheduling algorithm that are executed at the Broker of Wireless Sensor Network. The proposed algorithm LHLBPS contain two fold lines crisis parcels put in Priority Queue and served first and others bundles put in Normal Queue allocated greater priority for data originating from long distances to be executed first in this way avoiding re-transmission. The proposed paper uses multi-hop WSN that use intermediate nodes for transferring the data. LHLBPS algorithm proposed a load balancing and double queue (i) Normal Queue (ii) Priority Queue assign to Broker. In load balancing technique sensor node select the minimum weighted queue. The novel scheduling algorithm schedule intense priority for data packets that are coming from more hops and far distance placed at normal queue of Broker and served first but if emergency data packet received or coming at Broker node these packets placed in priority queue of Broker. These packet will be forwarded first to Base Station without any delay with respect to other data packets that are placed in normal queue of Broker. This approach used to overcome the congestion of network and also improved performance and lifetime of network. In addition, minimize the data packets interval loss and maximize the throughput of network.