@article{2371,
  author = {Salim EL KHEDIRI, Adel Dallali, Abdennaceur KACHOURI},
  title = {Multi Objective Clustering Algorithm for Maximizing Lifetime in Wireless Sensor Networks},
  journal = {Journal of Networking Technology},
  year = {2017},
  volume = {8},
  number = {4},
  doi = {},
  url = {http://www.dline.info/jnt/fulltext/v8n4/jntv8n4_1.pdf},
  abstract = {Hierarchical architecture with fixed structure is an effective scheme to make Wireless Sensor Networks (WSNs)
scalable and energy-efficient. Clustering the sensor nodes is a well-known two-layered architecture suitable for WSNs and has
been extensively explored for different purposes and applications. In this paper, a novel clustering approach called the Fixed
Competition-based Clustering Approach (FCBA) is proposed for WSNs. Selecting the cluster heads in the proposed FCBA is
performed based upon a residual energy and the distances among the cluster heads. First, by the new proposed competition
scheme, the nodes with the high residual energy which are closer to the center of the density of the nodes are elected and form
an initial set of cluster head candidates. Then, the candidates collect data from its members and send it to the base station. By
comparing our contribution to the recent clustering algorithms, simulation results show that our scheme is effective in saving
energy and power consumption.},
}