TY - GEN
T1 - Lifetime maximization of iot network by optimizing routing energy
AU - Srinidhi, N. N.
AU - Sunitha, G. P.
AU - Nagarjun, E.
AU - Shreyas, J.
AU - Kumar, S. M.Dilip
N1 - Funding Information:
VII. ACKNOWLEDGMENT This research work has been funded by the Science and Engineering Research Board (SERB-DST) Project File No: EEQ/2017/000681. Authors sincerely thank SERB-DST for intellectual generosity and research support provided.
Publisher Copyright:
© 2019 IEEE.
PY - 2019/11
Y1 - 2019/11
N2 - The Internet of Things (IoT) is considered as evolved form of Internet in the present scenario. Due to the prediction that large amount of data could be generated by billions of devices connecting to the Internet, requires data to be routed and processed rapidly by harnessing IoT devices energy. Energy constraint IoT devices consumes more energy due to mobility of nodes and results in minimizing network lifetime. Motivated by this challenge, mobility aware weighted clustering algorithm (MAWCA) for maximizing IoT network lifetime by harnessing routing energy is proposed in this paper to find the optimal cluster head (CH) for mobile nodes in IoT network. MAWCA considers degree difference of the node, sum of differences between neighbors, cumulative time, nodes mobility and delay in choosing a CH as weighting factor during CH election process. Simulation of results and analysis is carried out using NS-2 and results are compared with the similar existing algorithm. Thus, the proposed MAWCA prolongs the IoT network lifetime by harnessing energy utilized during routing of data between nodes.
AB - The Internet of Things (IoT) is considered as evolved form of Internet in the present scenario. Due to the prediction that large amount of data could be generated by billions of devices connecting to the Internet, requires data to be routed and processed rapidly by harnessing IoT devices energy. Energy constraint IoT devices consumes more energy due to mobility of nodes and results in minimizing network lifetime. Motivated by this challenge, mobility aware weighted clustering algorithm (MAWCA) for maximizing IoT network lifetime by harnessing routing energy is proposed in this paper to find the optimal cluster head (CH) for mobile nodes in IoT network. MAWCA considers degree difference of the node, sum of differences between neighbors, cumulative time, nodes mobility and delay in choosing a CH as weighting factor during CH election process. Simulation of results and analysis is carried out using NS-2 and results are compared with the similar existing algorithm. Thus, the proposed MAWCA prolongs the IoT network lifetime by harnessing energy utilized during routing of data between nodes.
UR - https://www.scopus.com/pages/publications/85082130240
UR - https://www.scopus.com/inward/citedby.url?scp=85082130240&partnerID=8YFLogxK
U2 - 10.1109/WIECON-ECE48653.2019.9019967
DO - 10.1109/WIECON-ECE48653.2019.9019967
M3 - Conference contribution
AN - SCOPUS:85082130240
T3 - 2019 5th IEEE International WIE Conference on Electrical and Computer Engineering, WIECON-ECE 2019 - Proceedings
BT - 2019 5th IEEE International WIE Conference on Electrical and Computer Engineering, WIECON-ECE 2019 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 5th IEEE International WIE Conference on Electrical and Computer Engineering, WIECON-ECE 2019
Y2 - 15 November 2019 through 16 November 2019
ER -
