TY - GEN
T1 - Energy balanced threshold using game theory algorithm for wireless sensor networks optimization
AU - Hendrarini, Nina
AU - Asvial, Muhamad
AU - Sari, Riri Fitri
N1 - Funding Information:
This work is supported by a PDUPT 2019 research grant from the Ministry of Research, Technology, and Higher Education (Kemristekdikti) with contract number NKB - 1659/UN2.R3.1/HKP.05.00/2019
Publisher Copyright:
© 2020 Association for Computing Machinery.
PY - 2020/1/12
Y1 - 2020/1/12
N2 - The wireless sensor network (WSN) as a supporting monitoring system requires stable conditions. The clustering mechanism in wireless sensor networks has been implemented to reduce energy waste. Therefore, maintaining energy in a balanced cluster head is very important. Logically, the distance between the cluster member nodes and the cluster head, and the distance of the head to sink node can affect the stability of the network while it is related to energy resources. To maintain a balanced environment, head cluster energy configuration management is a priority. One effective way to extend network life is to maintain energy balance. The main objective of this paper is to optimize the sensor network by modifying the Distributed Energy Efficient Clustering (DEEC) protocol using the Game Theory algorithm. Here, game theory has been introduced into the solution of problems by finding threshold values. Nash Equilibrium, a concept of game theory is used to have a correlation between energy variables, and non-cooperative behaviour as a character of game theory. In this work, DEEC protocol- A heterogeneous cluster protocol-has been modified in terms of threshold factors to improve the performance of wireless sensor networks. The threshold will filter out nodes that are not suitable to be cluster heads, so the wrong cluster head selection will not occur.
AB - The wireless sensor network (WSN) as a supporting monitoring system requires stable conditions. The clustering mechanism in wireless sensor networks has been implemented to reduce energy waste. Therefore, maintaining energy in a balanced cluster head is very important. Logically, the distance between the cluster member nodes and the cluster head, and the distance of the head to sink node can affect the stability of the network while it is related to energy resources. To maintain a balanced environment, head cluster energy configuration management is a priority. One effective way to extend network life is to maintain energy balance. The main objective of this paper is to optimize the sensor network by modifying the Distributed Energy Efficient Clustering (DEEC) protocol using the Game Theory algorithm. Here, game theory has been introduced into the solution of problems by finding threshold values. Nash Equilibrium, a concept of game theory is used to have a correlation between energy variables, and non-cooperative behaviour as a character of game theory. In this work, DEEC protocol- A heterogeneous cluster protocol-has been modified in terms of threshold factors to improve the performance of wireless sensor networks. The threshold will filter out nodes that are not suitable to be cluster heads, so the wrong cluster head selection will not occur.
KW - DEEC
KW - Energy balanced threshold
KW - Game Theory
KW - Wireless sensor networks
UR - http://www.scopus.com/inward/record.url?scp=85081988072&partnerID=8YFLogxK
U2 - 10.1145/3378936.3378952
DO - 10.1145/3378936.3378952
M3 - Conference contribution
AN - SCOPUS:85081988072
T3 - ACM International Conference Proceeding Series
SP - 165
EP - 169
BT - Proceedings of the 2020 3rd International Conference on Software Engineering and Information Management, ICSIM 2020 - Workshop 2020 the 3rd International Conference on Big Data and Smart Computing, ICBDSC 2020
PB - Association for Computing Machinery
T2 - 3rd International Conference on Software Engineering and Information Management, ICSIM 2020 - and its Workshop 2020 the 3rd International Conference on Big Data and Smart Computing, ICBDSC 2020
Y2 - 12 January 2020 through 15 January 2020
ER -