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Wireless sensor networks (WSNs) are widely used to monitor environmental conditions for different purposes with in different locations. However, due to the limited duration of the sensor’s energy source, many attempts are made to design energy Efficient WSN. Therefore many outcomes have been presented in literature, such as the adaptation of power, scheduling, sleep and wake up techniques to improve the useful life of the WSN. These techniques are presented separately and shown to achieve some benefits in terms of energy efficiency. In this paper, we present a low-energy efficient design system for WSN that prevents unnecessary wasting of power which in-turn increases the network lifetime. The proposed system reduce the overall power consumption up to 50%-70% approximately as compared to conventional task base scheme which will boost the network lifetime.
The WSN is built of several or thousands nodes, where each node is connected to one sensor. Each such sensor network node has typically several parts such as microcontroller for local data processing, data acquisition for sensing purpose, communication unit for transmitting and receiving data from other connected devices and finally the connection is given to power supply unit. More number of sensors are used greater is the accuracy of the network. As the sensor node for event monitoring are expected to work for long time without recharging their batteries, sleep scheduling is always used during monitoring process. In WSN to increase the network life time, task based sensing was introduced that prevents the unnecessary wasting of power with various wake-up and sleep techniques that allows the inactive nodes to sleep (M. Balakrishnan et al., 2007; J. Heidemann et al., 2004) And also overcome overall synchronization of network and minimize network traffic. Recently various methodologies have been proposed to determine different sleep times for different applications to enhance the network efficiency (B. Jiang et al., 2013; M. Balakrishnan et al., 2007; W. Ye et al., 2004) Sensor nodes will transmit data only when the critical event occurs. The fig1 below shows the basic event that is generated when sink node detects the event and communicate with other nodes to establish communication.
The green task base sensing scheme is a task based sensing that not only prevents wasting of power in unnecessary signaling but also utilizes techniques for achieving reliable and energy efficient WSN. As we reduce the transmission response frames our energy is saved up to 50%-70% respectively as compared to conventional task base sensing. Moreover, we obtain the increment during critical event monitoring to increase the overall energy efficiency of network up to 97% based on our assumptions. This system permits the WSN to sense data in the form of events directed to sensor nodes. In green task based sensing it depends on the industry or the applications. Suppose if the gas leaked for only 5 mins in the industry so the task is being initiated only for 5 mins. So our energy is being saved. In future, we intend to expand scalability analysis to include variation of largest number of nodes to maintain excellence of our proposed scheme.
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