In order to gather information more efficiently, wireless sensor networks (WSNs) are
partitioned into clusters. Most proposed clustering algorithms do not consider the location of …

In spite of the severe limitations on the resources of the sensor nodes such as memory,
computational power, transmission range and battery, the application areas of Wireless …

Energy constraint is a prominent feature for real time monitoring Wireless Sensor Networks
(WSNs). Indeed, communication and data transmission present an increasing demand for …

In order to gather information more efficiently in terms of energy consumption, wireless
sensor networks (WSNs) are partitioned into clusters. In clustered WSNs, each sensor node …

Minimization of energy consumption is one of the most important research areas in Wireless
Sensor Networks. Nowadays, the paradigms of computational intelligence (CI) are widely …

Purpose This paper aims to discuss a comprehensive survey on fuzzy-based clustering
techniques. The determination of an appropriate sensor node as a cluster head …

Wireless sensor networks have been implemented in various software to help gather and
analyze data from the physical world. Wireless sensor networks are networks of multiple tiny …

Abstract In Wireless Sensor Networks (WSN), as sensor nodes have limited energy, the
design of an energy‐efficient clustering technique is a critical challenge to be addressed …

Clustering is the most common approach to achieve energy efficiency in wireless sensor
networks. The existing clustering techniques exhibit some drawbacks which limit their usage …

It is inconvenient to replace the sensor nodes with limited energy in wireless sensor
networks (WSNs) when they are deployed in remote or dangerous monitoring area, that …