Abstract
Although Wireless Sensor Networks (WSNs) have significant applications in monitoring, security and other areas, they still lack network management solutions to enable large scale adoption. Such solutions would help in determining the degree of data aggregation prior to transforming it into useful information, localizing the sensors accurately, scheduling and routing data by reducing end-to-end delay, and energy consumptions. Moreover, to the best of our knowledge, no integrated network management framework consisting of efficient localization, data scheduling, routing, and data aggregation approaches exists in the literature for a large scale WSN. Thus, we introduce an integrated management framework comprising sensors Localization, Routing, data Scheduling, and Aggregation (LRSA) for a large scale WSN. Simulation results show that LRSA outperforms other approaches in terms of localization energy consumptions and error, end-to-end delay, and network energy consumptions.