Energy Efficient Resource Allocation in Wireless Sensor Networks?

Energy efficiency is a critical feature of wireless sensor networks (WSNs), because sensor nodes run on batteries that are generally difficult to recharge once deployed. Sensing and communications of sensor node consume energy, therefore a proper power management and sensors scheduling is needed for better resource allocation and for maximized the network lifetime. In this paper we proposed mc-ACO (ant colony optimization) method with SSMTT (sleep scheduling multiple target tracking) algorithms. By using both of this method we can schedule the sensor node and make them awake from sleep mode to active mode when needed. It gives better resource allocation of sensor node as well as prolongs the network lifetime.