Momento centric topology driven cooperative self scheduling for improved lifetime maximization in wireless sensor network

Abstract

The Wireless Sensor Networks (WSN) have been used in many domains and applications as it support rapid deployment. The problem of routing with scheduling and lifetime maximization in WSN has been well studied. There are number of algorithms discussed earlier for the support of lifetime maximization and scheduling of nodes in WSN. However, they suffer to achieve higher performance in maximization of lifetime of sensor nodes. The wireless medium between different nodes of the sensor node has been shared among them. But, when there are many nodes have packets to be transmitted, they would try to transmit at the same time. newlineIn this first approach, to improve the performance, an Efficient Momento Based Dynamic Scheduling Algorithm (EEMDS) is presented in this article. The proposed method considers energy and previous transmission history of different nodes to perform scheduling. The method first collects the list of sensor which has packets to be transmitted and allocates momento according to the priority of nodes. The node selected has been assigned with the momento which is required for the data transmission. Once the source and destination node has been identified, then according to the topology of nodes, a set of routes has been identified. For each route and the list of intermediate nodes, the method estimates the transmission support and lifetime maximization support values. The transmission support has been measured based on the number of sensors and energy where the lifetime support is measured according to the energy parameter and the previous transmission history. Finally, a small set of nodes are selected and scheduled for working mode. The available route in the selected route has been used to perform data transmission. According to the result of route selection, the list of nodes present in the route is identified. Such nodes present in the selected route are scheduled to be wakeup in the current transmission where the remaining nodes present in the network are scheduled to be in sleep mode. This increases