@article{MAKHILLJEAS2018131116293,
    title = {Particle Swarm Optimization Based Approach for Reduction of
Energy Consumption and Time Period in Wireless Sensor Network},
    journal = {Journal of Engineering and Applied Sciences},
    volume = {13},
    number = {11},
    pages = {3927-3934},
    year = {2018},
    issn = {1816-949x},
    doi = {jeasci.2018.3927.3934},
    url = {https://makhillpublications.co/view-article.php?issn=1816-949x&doi=jeasci.2018.3927.3934},
    author = {R. and},
    keywords = {wireless,energy outflow,packet delivery ratio,cat swarm optimization,Energy based clustering,sensor networks,class},
    abstract = {During the previous decades, Wireless Sensor Networks (WSN) got ton of attraction from the
scientific and industrial society. WSNs are composed of giant range of tiny resource affected devices
recognized as sensors. Energy could be a important issue in WSN. Energy efficient cluster is an eminent
improvement downside that has been studied extensively to prolong the lifespan of the network. This study
demonstrates the programming formulation of this downside followed by a projected algorithmic program with
Cat Swarm Optimisation (CSO) approach. The clustering technique is expressed by taking into thought of
energy saving of nodes. The projected algorithmic program is experimented wide and results are evaluated with
existing ways to point out their mastery in term of energetic nodes, energy out flow, packet delivery ratio and
output of network. Simulation results shows that our projected algorithm outstrip the other existing algorithms
of its class.}
    }