Recent trends in field of wireless networks is setting up Wireless Sensor Networks that, senses specified parameter(s) related to environment; processes sensed data and wirelessly communicates it to a base station. Such networks open up a whole new range of applications, including precision agriculture, monitoring and tracking vehicles, animals and humans, battle-field surveillance, civil struc...

Energy is the main issue in the WSN as these networks contains the battery operated nodes. The energy consumption can be reduced by efficient routing in the network. The efficient routing needs the proper cluster head selection along with the proper cluster size. Moreover, the cluster shape is also an important factor to optimize the clustering. This paper studies various routing schemes in the...

In wireless sensor networks, the selection of cluster heads relies upon the various selection parameters, such as energy, distance, node concentration and rate of retransmission. There is always uncertainty in the suitability of sensor node for the cluster head role due to these various selection parameters. Fuzzy logic is capable of overcoming uncertainties even with incomplete available infor...

Head selection model deals with the Head selection in the presence of egotistic nodes for intrusion detection in Mobile Ad-hoc Networks (MANETs). To balance the resource consumption among all nodes and prolong the lifetime of an MANET, nodes with the most remaining resources should be selected as the head. However, there are two main obstacles in achieving this goal. First, without incentives f...

The wireless sensor networks combines sensing, computation, and communication into a single small device. These devices depend on battery power and may be placed in hostile environments replacing them becomes a tedious task. Thus improving the energy of these networks becomes important. Clustering in wireless sensor network looks several challenges such as selection of an optimal group of senso...

This paper proposes a centralized algorithm for cluster-head-selection in a mobile wireless sensor network. Before execution of algorithm in each round, Base station runs centralized localization algorithm whereby sensors update their locations to base station and accordingly Base station performs dynamic clustering. Afterwards Base station runs CA-MWSN for cluster-head-selection. The proposed ...

In Wireless Sensor Networks (WSN), cluster based methods are well known with special advantage of scalability and efficient communication. In this case, the entire network is divided into clusters and in each cluster a cluster head node is selected, normally based on maximum residual energy. But there are other parameters which must be considered for electing cluster head for prolonged lifetime...