Compressive Sensing (CS) is a new sensing modality, which compresses the signal being
acquired at the time of sensing. Signals can have sparse or compressible representation …

In last two decades, various monitoring systems have been designed and deployed in urban
environments, toward the realization of the so called smart cities. Such systems are based …

The emergence of human-motion-based energy harvesters is a reflection of the need to
develop future energy supplies for small-scale human-motion-based self-powered and self …

Clustering has been proven to be one of the most efficient techniques for saving energy of
wireless sensor networks (WSNs). However, in a hierarchical cluster based WSN, cluster …

Fifth generation wireless networks are expected to provide advanced capabilities and create
new markets. Among the emerging markets, Internet of Things (IoT) use cases are standing …

The exponential growing rate of the networking technologies has led to a dramatical large
scope of the connected computing environment. Internet-of-Things (IoT) is considered an …

The primary challenges in outlining and arranging the operations of wireless sensor
networks are to enhance energy utilization and the system lifetime. Clustering is a powerful …

As an emerging fast-growing technology, smart grid networks (SGNs) have been
dramatically accepted by the current power supply industry for achieving high performance …

Internet of Things (IoT) is emerging as the underlying technology of our connected society,
which enables many advanced applications. In IoT-enabled applications, information of …

Battery power is a critical resource of Wireless Sensor Networks (WSNs). Therefore, an
effective operation of WSNs depend upon the efficient use of its battery resource. Cluster …