Virtual Mimo Based Cooperative Communication for an Energy Efficient and Secure Wireless Sensor Network

Abstract

The wireless networks are providing us flexibility as well as freedom in several ways. It newlineis unleashing sensors and our devices from the communication cords and making them newlineaccessible from anywhere, any time without physically being connected. Several wireless newlinedevices such as smart TV, smartphones, UAVs, sensors, and the internet of things newline(IoT) have become integral parts of our lives. Internet of Things (IoT) applications newlinein healthcare, home, and industrial automation have become a common term. So, the newlinerapid growth in the number of smart devices and the success of new sensor technologies newlinenecessitates strengthening its backbone technology. Wireless sensor network (WSN), a newlinekey enabler of IoT networks, has a continuously growing range of applications in this newlineregard. Although each WSN application may have different requirements, one thing newlinewhich remains common is the concern for energy conservation. Despite considerable newlineenergy optimizing algorithms and protocols designed for WSNs, there still lies enough newlinescope to improvise the network performance. newlineDue to high data rate and significant energy savings, and reliability, Multiple Input newlineMultiple Output (MIMO) continues to be an integral part of many emerging technologies, newlineincluding WSN. Node cooperation in WSN can form a virtual antenna system newlinereferred to as a Virtual-MIMO system. newlineThis thesis has proposed energy-saving algorithms for a cooperative WSN and considered newlinetwo scenarios. In first scenario all the nodes takes part in data transmissions. newlineHowever, another scenario is an event-based monitoring system where data from all the newlinenodes may not be significant for the end-user all the time. newlineIn our first work energy savings is achieved by implementing duty cycle approach newlinein an aggregation-based framework. Although all the nodes participate in essential newlinesensing operation but only an optimum number of nodes performs aggregation and newlinelong-haul transmissions. Further, the role of a node to behave as an aggregator and newlinelong haul link node is rotated after a certain number of rounds