Wireless sensor networks consist of a large number of nodes which are distributed
sporadically in a geographic area. The energy of all nodes on the network is limited. For this …

The biggest challenges faced by wireless sensor networks (WSNs) are the network lifetime
and consumption of energy. To reduce the amount of energy used by WSNs, high quality …

This paper examines the optimization of the lifetime and energy consumption of Wireless
Sensor Networks (WSNs). These two competing objectives have a deep influence over the …

Clustering is one of the most energy-efficient techniques for extending the lifetime of
wireless sensor networks (WSNs). In a clustered WSN, each sensor node transmits the data …

Wireless sensor networks generally consist of static sensor node, which can be deployed to
monitor the environment. The network is built by the sensor nodes, and the data from the …

The major concerns in Wireless Sensor Networks (WSN) are energy efficiency as they utilize
small sized batteries, which can neither be replaced nor be recharged. Hence, the energy …

Clustering is a promising solution to enhance lifetime of wireless sensor networks. Fuzzy
logic is being used to address uncertainties in cluster head selection. In a multi-hop routing …

Objective: Energy efficiency aspect in wireless sensor networks (WSN) can be achieved by
small sized rechargeable and easily replaceable batteries. The lifetime of wireless sensor …

Wireless sensor networks have numerous nodes with limited energy which have the ability
to monitor around themselves and these nodes are scattered in a limited geographic area …

An efficient cluster head selection algorithm in wireless sensor networks is proposed in this
paper. The implementation of the proposed algorithm can improve energy which allows the …