Hot spots in a wireless sensor network emerge as locations under heavy traffic load. Nodes
in such areas quickly deplete energy resources, leading to disruption in network services …

Minimizing energy dissipation and maximizing network lifetime are among the central
concerns when designing applications and protocols for sensor networks. Clustering has …

The existing clustering algorithms are either static or dynamic depending on the frequency of
clustering. In static clustering, clusters are formed once, which reduces the clustering …

The energy resources available to nodes in wireless sensor networks are limited, so they
must be wisely used. Clustering is a useful technique for reducing energy consumption and …

Clustering is an important way to realize energy saving in wireless sensor network.
Combining the revelation of previous clustering protocols, we propose a new energy …

Many data‐gathering protocols for wireless sensor networks use clustering technology for
prolonging network lifetime. Cluster‐based protocols reduce the total energy consumption …

Over the last several years, various clustering algorithms for wireless sensor networks have
been proposed to prolong network lifetime. Most clustering algorithms provide an equal …

Clustering is one of the fundamental approaches used to optimize energy consumption in
wireless sensor networks. Clustering protocols proposed in the literature can be classified …

Wireless sensor networks (WSNs) have recently gained the attention of researchers in many
challenging aspects. The most important challenge in these networks is energy …

In the past two decades, network clustering has been proven as efficient approach for data
collection and routing in wireless sensor networks (WSNs). It provides several advantages …