TY - JOUR
T1 - Improvement Performance of Clustered Shortest Geopath Routing Protocol Using Data Aggregation in Wireless Sensor Network Environments
AU - Rozita,
AU - Wibisono, W.
AU - Anggoro, R.
N1 - Publisher Copyright:
© Published under licence by IOP Publishing Ltd.
PY - 2018/12/4
Y1 - 2018/12/4
N2 - The wireless sensor network is one of the wireless networks which consists of many sensor nodes placed in a particular region for a certain specific functionality. Sensor nodes are generally small and have limited memory, processing resources, energy and lifetime. Limitations of sensor nodes on the energy side can affect network performance such as network lifetime and delay on the event detection. There are many methods that have been done to increase network lifetime, one of which is Clustered Shortest Geopath Routing protocol (CSGP). CSGP is a method to increase network lifetime, this method the development of the shortest geopath routing protocol (SGP) and Low Energy Adaptive Clustering Hierarchy (LEACH). the cluster formation is based on the geographic information of the network while the cluster head selection is based on the position of the node closest to the clusters center point and the data sensing obtained by sensor node will be sent to the cluster head which will forward them to the sink using SGP. However, this method has the limitation on the cluster head selection which is not optimal and the density of network transmission on the SGP line so that the energy consumption of nodes in the path is greater than other sensor nodes. This research proposes a schema selection and maintenance of the cluster head to determine the adaptive path, then aggregation data to reduce the number of network transmission. The data aggregation is the process of collecting and combining useful information in a particular region. Implementation of the stages will be performed in the simulation environment by utilizing SIDNet SWANS simulator, a simulator that used for simulating the wireless sensor network.
AB - The wireless sensor network is one of the wireless networks which consists of many sensor nodes placed in a particular region for a certain specific functionality. Sensor nodes are generally small and have limited memory, processing resources, energy and lifetime. Limitations of sensor nodes on the energy side can affect network performance such as network lifetime and delay on the event detection. There are many methods that have been done to increase network lifetime, one of which is Clustered Shortest Geopath Routing protocol (CSGP). CSGP is a method to increase network lifetime, this method the development of the shortest geopath routing protocol (SGP) and Low Energy Adaptive Clustering Hierarchy (LEACH). the cluster formation is based on the geographic information of the network while the cluster head selection is based on the position of the node closest to the clusters center point and the data sensing obtained by sensor node will be sent to the cluster head which will forward them to the sink using SGP. However, this method has the limitation on the cluster head selection which is not optimal and the density of network transmission on the SGP line so that the energy consumption of nodes in the path is greater than other sensor nodes. This research proposes a schema selection and maintenance of the cluster head to determine the adaptive path, then aggregation data to reduce the number of network transmission. The data aggregation is the process of collecting and combining useful information in a particular region. Implementation of the stages will be performed in the simulation environment by utilizing SIDNet SWANS simulator, a simulator that used for simulating the wireless sensor network.
UR - http://www.scopus.com/inward/record.url?scp=85058305907&partnerID=8YFLogxK
U2 - 10.1088/1742-6596/1108/1/012121
DO - 10.1088/1742-6596/1108/1/012121
M3 - Conference article
AN - SCOPUS:85058305907
SN - 1742-6588
VL - 1108
JO - Journal of Physics: Conference Series
JF - Journal of Physics: Conference Series
IS - 1
M1 - 012121
T2 - 2nd Mathematics, Informatics, Science and Education International Conference, MISEIC 2018
Y2 - 21 July 2018
ER -