Wireless sensor networks (WSNs) are composed of a large number of inexpensive power-
constrained wireless sensor nodes, which detect and monitor physical parameters around …

Topology control in wireless sensor networks (WSNs) balances the communication load on
sensor devices and increases the network lifetime and scalability. Hierarchical or cluster …

Wireless sensor networks can be used to collect environmental data from the interested area
using multi-hop communication. As sensor networks have limited and non-rechargeable …

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 large-scale deployment of wireless sensor networks (WSNs) and the need for data
aggregation necessitate efficient organization of the network topology for the purpose of …

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 wireless sensor networks (WSNs), nodes have limited energy and cannot be recharged.
In order to tackle this problem, clustering methods are employed to optimize energy …

A suitable clustering algorithm for grouping sensor nodes can increase the energy efficiency
of WSNs. However, clustering requires additional overhead, such as cluster head selection …

Clustering, as an essential part in an hierarchy protocol that can prolong the network
lifetime, is influenced by the cluster head selection and clustering scheme. A new clustering …

Radio transmission and reception consumes a lot of energy in a wireless sensor network
(WSN), which are made of low-cost, low-power, small in size, and multifunctional sensor …