LAUSR

The rapid procreation of internet of things (IoT) has invigorated massive research efforts with the purpose to save and use the lifetime of battery-powered sensor nodes which ultimately increases the overall network lifetime. The erroneous and faulty states of these networks are due to the high consumption of batteries in the processing and transmission of data by these nodes. This research focuses on message scheduling in an IoT environment where things/sensors are connected to make IoT groups, where each group has a designated broker whose duty is to delivers the messages coming from the group members to the ultimate sink of the sensed data. At broker a message scheduler operating to decides which message goes first. This algorithm proposed cross layer architecture at application level and network level. The residual energy of the node and its distance is considered as a parameter while selecting broker among all nodes in new proposed methods as compared to traditional LEACH. The proposed method provides better results in terms of number of live nodes, network life time, number of brokers and total dissipated energy while stabilizing the response time of the messages in addition to it.