TY - JOUR
T1 - Mobility aware weighted clustering algorithm for maximizing IOT network lifetime by harnessing routing energy
AU - Srinidhi, N. N.
AU - Dilip Kumar, S. M.
AU - Shreyas, J.
N1 - Funding Information:
Large scale network based on IoT comprises of many events that requires transmitting/ re-transmitting of data packets during the process of communication which drains large amount of energy from battery powered energy aware IoT devices. Most of the solutions provided to enhance network energy of the IoT lack mobility of the nodes which is 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.
Funding Information:
Department of CS&E, (UVCE), Bangalore. He has published more than 60 papers in International Journals including Elsevier, Springer and Inderscience and Conferences. He was the Principal Investigator for a research project sponsored by Department of Science and Technology, Govt. of India in the area of grid computing and another research project sponsored by Department of Science and Technology in the area of Internet of Things is ongoing. He has completed a consultancy project in the area of mobile governance sponsored by the Government of Karnataka. His current research lies in the areas of sensor networks, cloud computing and Internet of Things.
Publisher Copyright:
© BEIESP.
PY - 2019/10
Y1 - 2019/10
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 consume 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 to find the optimal cluster head (CH) for mobile nodes in the 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 results shows that the proposed MAWCA outperforms in respect to network energy, delivery ratio, alive nodes count, packet loss ratio and network lifetime in par with similar existing algorithm. The uniqueness of the paper lies in selecting potential cluster head to maximize IoT network lifetime.
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 consume 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 to find the optimal cluster head (CH) for mobile nodes in the 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 results shows that the proposed MAWCA outperforms in respect to network energy, delivery ratio, alive nodes count, packet loss ratio and network lifetime in par with similar existing algorithm. The uniqueness of the paper lies in selecting potential cluster head to maximize IoT network lifetime.
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U2 - 10.35940/ijeat.A1885.109119
DO - 10.35940/ijeat.A1885.109119
M3 - Article
AN - SCOPUS:85074632685
SN - 2249-8958
VL - 9
SP - 6224
EP - 6232
JO - International Journal of Engineering and Advanced Technology
JF - International Journal of Engineering and Advanced Technology
IS - 1
ER -