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What is Node Scheduling Approach

Evolution of Software-Defined Networking Foundations for IoT and 5G Mobile Networks
The nodes in the sensor network can exist in either active, idle or sleep state. In the active state node is involved in the collection of the data from the environmental phenomenon. In the idle phase node is only sensing the environment and performs no communication operation. In the sleep state the node is not performing any operation. It has been observed that the sensor nodes consume least energy in sleep state. So the redundant nodes in terms of coverage may be put into sleep state such that energy consumption is reduced and network lifetime is maximized. The objective of node scheduling approach is to divide the set of nodes into a number of subsets such that it subset can provide coverage to the specified set of points. The set covers thus obtained are activated periodically by the base station. The network lifetime is such case is proportional to the number of set covers obtained. The higher the number of set covers higher will be the network lifetime.
Published in Chapter:
Priority Encoding-Based Cluster Head Selection Approach in Wireless Sensor Networks
Pooja Chaturvedi (School of Management Sciences, Varanasi, India) and Ajai Kumar Daniel (Madan Mohan Malaviya University of Technology, Gorakhpur, India)
DOI: 10.4018/978-1-7998-4685-7.ch007
Abstract
Wireless sensor networks have gotten significant attention in recent times due to their applicability in diverse fields. Energy conservation is a major challenge in wireless sensor networks. Apart from energy conservation, monitoring quality of the environmental phenomenon is also considered a major issue. The approaches that addressed both these problems are of great significance. One such approach is node scheduling, which aims to divide the node set into a number of subsets such that each subset can monitor a given set of points known as targets. The chapter proposes a priority coding-based cluster head selection approach as an extension of the energy efficient coverage protocol (EECP). The priority of the nodes is determined on the basis of residual energy (RE), distance (D), noise factor (N), node degree (Nd), and link quality (LQ). The analytical results show that the proposed protocol improves the network performance by reducing the overhead by a factor of 70% and hence reduces the energy consumption by a factor of 70%.
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