Wireless　sensor　networks　can　be　used　for　a　range　of　application　starting　from　underwater　to　internet　of　things.　It　is　the　interconnection　of　wireless　nodes　called　sensors　deployed　for　a　specific　purpose.　The　nodes　may　be　static　or　mobile　in　nature.　The　flat　network　structure　may　saturate　the　network　when　the　number　of　nodes　is　very　high.　The　clustering　structure　may　solve　the　issue　when　clusters　are　formed　at　low　cost.　Several　parameters　need　consideration　during　cluster　formation　and　cluster　head　selection.　These　parameters　are:　nodes　energy,　mobility,　mobility　direction,　nodes　degree,　etc.　In　this　article,　honey　bee　algorithm　is　used　to　select　a　cluster　headset　from　existing　nodes　in　the　network　and　form　clusters　based　on　cluster　heads.　The　problem　is　first　formulated　to　the　dynamic　optimization　problem　and　honey　bee　algorithm　is　applied　in　order　to　select　the　most　suitable　cluster　heads　in　the　network.　The　simulation　results　show　that　the　proposed　scheme　outperforms　existing　algorithms.　©　2018　The　Authors.　Published　by　Elsevier　B.V.