@article{MAKHILLAJIT201615226511,
    title = {Optimizing Base Station Mobile Sink by Energy Balanced Clustering for Wireless
Sensor Network},
    journal = {Asian Journal of Information Technology},
    volume = {15},
    number = {22},
    pages = {4559-4566},
    year = {2016},
    issn = {1682-3915},
    doi = {ajit.2016.4559.4566},
    url = {https://makhillpublications.co/view-article.php?issn=1682-3915&doi=ajit.2016.4559.4566},
    author = {P.,G. and},
    keywords = {Wireless sensor networks,base station,unequal clustering,unequal clustering,simulation},
    abstract = {Clustering plays an effective role in utilization and saving of senor energy. Where nodes are grouped
into clusters and one node, called the cluster head is responsible for collecting data from other nodes,
aggregates them and sends them to the BS. In multi-hop communication, the cluster head farthest away from
the BS routes its data over several hops until they reach the BS. A network portioning problem arises when the
nodes that are very close to the BS burdened with heavy relay traffic load and therefore die much faster than
others. In this project we introduced a new unequal size clustering protocol that balances the energy
consumption among all clusters, where each cluster will have an mobile sink has been used to collect data from
CH, clusters head send data to mobile sink that are will have few number of nodes to be able to save energy
to the ones that are far from the BS, that have large number of nodes. This path and energy balanced algorithm
helps to balance energy and prolong the life time of node.}
    }