Recent years have seen a surge in curiosity in machine‐to‐machine (M2M) collaborations
between academics and industry. Machine‐to‐machine communication devices (MTCDs) …

The emerging paradigm of Machine to Machine (M2M)-driven Internet of Things (IoT), where
physical objects are not disconnected from the virtual world but aim at collectively provide …

Energy saving in wireless sensor networks (WSNs) is a critical problem for diversity of
applications. Data aggregation between sensor nodes is huge unless a suitable sensor data …

In this article, efficient power saving scheme and corresponding algorithm must be
developed and designed in order to provide reasonable energy consumption and to …

In this study, an optimal method of clustering homogeneous wireless sensor networks using
a multi‐objective two‐nested genetic algorithm is presented. The top level algorithm is a …

Sensor networks is among the fastest growing technologies that have the potential of
changing our lives drastically. These collaborative, dynamic and distributed computing and …

Clustering has been well received as one of the effective solutions to enhance energy
efficiency and scalability of large-scale wireless sensor networks. The goal of clustering is to …

Energy load balancing is an essential issue in designing wireless sensor networks (WSNs).
Clustering techniques are utilized as energy-efficient methods to balance the network …

Aiming at high network energy consumption and data delay induced by mobile sink in
wireless sensor networks (WSNs), this paper proposes a cluster-based energy optimization …

EKMT-k-means clustering algorithmic solution is one of the well known methods among all
the partition based algorithms to partition a data set into group of patterns. This paper …