Synchronizing numerous sampling tasks by geometric series in sensor field

Abstract

wireless sensor network employed mobile sinks to collect a set of samples from sensor field. Low-cost and small sensor devices contain various resource restrictions that introduce new challenges for data collection and aggregation in sensor networks. Among these limitations, energy is usually the primary concern when designing an in-network algorithm. The main task of sampling the sensor field is to manage the energy efficiency of the sensor source nodes when sharing out the data to the target node. The path of sending the sensor data is effectively recognized however uses more cost to forward sensor data packet. To improve the mobile sampling in sensor field, a novel method is designed to plan synchronize numerous sampling tasks. It is feasible by the sensor nodes to hold numerous sampling tasks, started by means of the same or different mobile objects in which the sampling regions gets overlapped. So, it is attractive to include an effective synchronization mechanism so that overlapped regions required only one reply for the sampling tasks. Here, a geometric series method is presented as a synchronization mechanism to synchronize the numerous sampling tasks to help the rebroadcast system by utilizing only the minimum amount of energy. Experimental simulations are carried out to calculate the performance of the proposed synchronizing numerous sampling tasks in sensor field using geometric series [SNSTGS] system against Band-based Directional Broadcast by means of average number of messages, overlap percentage, data deliverability.