%0 Journal Article %1 farahanienergy %A Farahani, Gholamreza %D 2019 %E Natarajan, Meghanathan %J International Journal of Computer Networks & Communications (IJCNC) %K Network Sensor Wireless %N 2 %P 33-51 %R 10.5121/ijcnc.2019.11203 %T Energy Consumption Reduction in Wireless Sensor Network Based on Clustering %U http://airccse.org/journal/ijc2019.html %V 11 %X One of the important issues in the routing protocol design in Wireless Sensor Networks (WSNs) is minimizing energy consumption and maximizing network lift time. Nowadays networks and information systems are one of the main parts of modern life that without them, people cannot live. On the hand, the impairment of these networks leads to great and incalculable costs. In this paper, a new method based on clustering has presented that problem of energy consumption is solved. The proposed algorithm is that energy-based clustering can create clusters of the same energy level and distribute energy efficiency across the WNS nodes. This proposed clustering protocol classify network nodes based on energy and neighbourhood criteria and attempts to better balance energy in clusters and ultimately increase network lifetime and maintain network coverage. Results are shown that the proposed algorithm is on average 40% better than LEACH algorithm and 14% better than IBLEACH algorithm.

@article{farahanienergy, abstract = {One of the important issues in the routing protocol design in Wireless Sensor Networks (WSNs) is minimizing energy consumption and maximizing network lift time. Nowadays networks and information systems are one of the main parts of modern life that without them, people cannot live. On the hand, the impairment of these networks leads to great and incalculable costs. In this paper, a new method based on clustering has presented that problem of energy consumption is solved. The proposed algorithm is that energy-based clustering can create clusters of the same energy level and distribute energy efficiency across the WNS nodes. This proposed clustering protocol classify network nodes based on energy and neighbourhood criteria and attempts to better balance energy in clusters and ultimately increase network lifetime and maintain network coverage. Results are shown that the proposed algorithm is on average 40% better than LEACH algorithm and 14% better than IBLEACH algorithm. }, added-at = {2019-04-16T12:37:00.000+0200}, author = {Farahani, Gholamreza}, biburl = {https://www.bibsonomy.org/bibtex/239a869c03f029cd75abe40841ed0f609/laimbee}, doi = {10.5121/ijcnc.2019.11203}, editor = {Natarajan, Meghanathan}, interhash = {b9f65991fa4d27c1a0d7d447f79d7995}, intrahash = {39a869c03f029cd75abe40841ed0f609}, issn = {0974 - 9322}, journal = {International Journal of Computer Networks & Communications (IJCNC) }, keywords = {Network Sensor Wireless}, language = {English}, month = mar, number = 2, pages = {33-51}, timestamp = {2019-04-16T12:37:00.000+0200}, title = {Energy Consumption Reduction in Wireless Sensor Network Based on Clustering}, url = {http://airccse.org/journal/ijc2019.html}, volume = 11, year = 2019 }