[vc_empty_space][vc_empty_space]
Evaluation of low energy adaptive clustering hierarchy routing protocol for wireless sensor network over high altitude plaftform
Mahyastuty V.W.a, Iskandara, Hendrawana
a School of Electrical Engineering and Informatics, Institut Teknologi Bandung, Indonesia
[vc_row][vc_column][vc_row_inner][vc_column_inner][vc_separator css=”.vc_custom_1624529070653{padding-top: 30px !important;padding-bottom: 30px !important;}”][/vc_column_inner][/vc_row_inner][vc_row_inner layout=”boxed”][vc_column_inner width=”3/4″ css=”.vc_custom_1624695412187{border-right-width: 1px !important;border-right-color: #dddddd !important;border-right-style: solid !important;border-radius: 1px !important;}”][vc_empty_space][megatron_heading title=”Abstract” size=”size-sm” text_align=”text-left”][vc_column_text]© 2017 IEEE.Curently, Wireless Sensor Network (WSN) is applied in many fields such as industrial plants, security, medical, as well as weather and environmental monitoring. The constraint of the use of WSN is the limited power of each sensor node, which means energy consumption efficiency is an important issue in WSN. Routing is a function in WSN which consumes a considerable amount of energy. One of the routing protocol that can increase the energy efficiency of WSN is Low Energy Adaptive Clustering Hierarchy (LEACH). In this research, energy consumption and the number of dead nodes of LEACH are evaluated using MATLAB simulation. The results show that elevation angle and number of clusters affect the energy consumption and number of dead nodes. HAP-WSN system with clustering topology will reduce energy consumption and minimize the number of dead nodes. From a set of simulations, it can be seen that energy consumption for 0° is greater than energy consumption for 10°. It can be also seen that the number of optimum cluster is 4 for both elevation angels.[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Author keywords” size=”size-sm” text_align=”text-left”][vc_column_text]Elevation angle,Energy consumption efficiency,Environmental Monitoring,Low energy adaptive clustering hierarchies (LEACH),Low-energy adaptive clustering hierarchies,Matlab simulations,Number of clusters,Reduce energy consumption[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Indexed keywords” size=”size-sm” text_align=”text-left”][vc_column_text]energy consumption,LEACH,WSN[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Funding details” size=”size-sm” text_align=”text-left”][vc_column_text][/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”DOI” size=”size-sm” text_align=”text-left”][vc_column_text]https://doi.org/10.1109/ICWT.2017.8284139[/vc_column_text][/vc_column_inner][vc_column_inner width=”1/4″][vc_column_text]Widget Plumx[/vc_column_text][/vc_column_inner][/vc_row_inner][/vc_column][/vc_row][vc_row][vc_column][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][/vc_column][/vc_row]