A game theory based energy efficient clustering routing protocol for WSNs

2016 ◽  
Vol 23 (4) ◽  
pp. 1101-1111 ◽  
Author(s):  
Deyu Lin ◽  
Quan Wang
Keyword(s):  
Game Theory ◽  
Routing Protocol ◽  
Energy Efficient ◽  
Energy Efficient Clustering

ECRPW: Energy-Efficient Clustering Routing Protocol Based on Weight for WSNs

2012 ◽  
Vol 182-183 ◽  
pp. 823-828
Author(s):  
Xiang Ping Gu ◽  
Rong Lin Hu
Keyword(s):  
Routing Protocol ◽  
Energy Efficient ◽  
Residual Energy ◽  
Wireless Sensor ◽  
Distance Threshold ◽  
Cluster Heads ◽  
Cluster Scheme ◽  
Energy Efficient Clustering ◽  
Routing Tree ◽  
Better Than

ECRPW (energy-efficient clustering routing protocol based on weight) routing protocol is presented to avoid the characteristic of limited energy for wireless sensor networks. It takes nodes’ residual energy into consideration during the process of cluster heads being elected. The constraint of distance threshold is used to optimize cluster scheme. Furthermore, it also sets up the routing tree based on cluster heads’ weight. We simulate and analyze LEACH and ECRPW in NS2. The results show that the performance of ECRPW is better than LEACH.

Energy Efficient Clustering Routing Protocol and ACO Algorithm in WSN

2021 ◽  
pp. 68-80
Author(s):  
Shalini Subramani ◽  
M. Selvi ◽  
S. V. N. Santhosh Kumar ◽  
A. Kannan
Keyword(s):  
Routing Protocol ◽  
Energy Efficient ◽  
Energy Efficient Clustering

Energy-Efficient Routing Protocol of Wireless Sensor Network for Industrial Application

2013 ◽  
Vol 579-580 ◽  
pp. 732-739
Author(s):  
Zhi Yan Ma ◽  
Guang You Yang ◽  
Jing Jing Zhou ◽  
Xiong Gan
Keyword(s):  
Routing Protocol ◽  
Energy Efficient ◽  
Time Slot ◽  
Data Gathering ◽  
Base Station ◽  
Wireless Sensor ◽  
Energy Efficient Routing ◽  
Death Time ◽  
Leach Protocol ◽  
Energy Efficient Clustering

An energy-efficient wireless sensor routing protocol (Energy-efficient clustering hierarchy routing protocol, EECH) for industrial field is proposed based on LEACH protocol according to the energy inefficiency of existing routing protocols and the characteristics of industrial field applications. The EECH protocol takes full advantages of the node clustering and time slot distribution in LEACH and implements the functions such as clustering, multi hop time slot distribution, node sleeping and data gathering. The cluster heads can be evenly distributed in the area with the geography location information of the wireless nodes, so that the optimal data gathering path can be established. Meanwhile, the EECH protocol can reduce the conflict in data receiving/transmitting and the energy consumption of the nodes, and extend the network lifetime through the multi hop time slot distribution and node sleep mechanism. The simulation results have shown that the death time of the first node in EECH protocol is extended double time than that of LEACH protocol. When most of the nodes dies, the amount of received data of the base station node is more than twice as much as the LEACH protocol, which has verified the energy efficiency characteristic of the EECH protocol.

scholarly journals Cooperative Game Theory Approach for Energy-Efficient Node Clustering in Wireless Sensor Network

2020 ◽  
Vol 20 (2) ◽  
pp. 76
Author(s):  
Chaeriah Bin Ali Wael ◽  
Nasrullah Armi ◽  
Arumjeni Mitayani ◽  
Suyoto Suyoto ◽  
Salita Ulitia Prini ◽  
...  
Keyword(s):  
Game Theory ◽  
Wireless Sensor Network ◽  
Sensor Network ◽  
Cooperative Game ◽  
Energy Efficient ◽  
Cooperative Game Theory ◽  
Residual Energy ◽  
Wireless Sensor ◽  
Theory Approach ◽  
Energy Efficient Clustering

Energy consumption is one of the critical challenges in designing wireless sensor network (WSN) since it is typically composed of resource-constrained devices. Many studies have been proposed clustering to deal with energy conservation in WSN. Due to its predominance in coordinating the behaviors of many players, game theory has been considered for improving energy efficiency in WSN. In this paper, we evaluate the performance of cooperative game theoretic clustering (CGC) algorithm which employs cooperative game theory in a form of 3-agent cost sharing game for energy-efficient clustering in WSN. Furthermore, we compared its performance to a well-known traditional clustering method, low-energy adaptive clustering hierarchy (LEACH), in terms of network lifetime and stability, and total residual energy. The simulation results show that CGC has better performance compared to LEACH due to the cooperation among cluster heads in coalition. CGC has higher alive nodes with stability improvement of first node dies (FND) by 65%, and the improvement by 52.4% for half node dies (HND). However, with the increasing of the number of nodes, the performance of LEACH is getting better compared to CGC.

scholarly journals Multi-Population Ensemble Particle Swarm Optimizer based Energy Efficient Clustering Algorithms for IOT Applications

2021 ◽  
pp. 81-85
Author(s):  
Roshnee Adlak ◽  
Pooja Meena
Keyword(s):  
Routing Protocol ◽  
Energy Efficient ◽  
New Technologies ◽  
Clustering Algorithms ◽  
Cluster Head ◽  
Particle Swarm ◽  
Energy Utilization ◽  
Particle Swarm Optimizer ◽  
Energy Efficient Clustering ◽  
The Internet Of Things

With the growth of wireless sensor networks (WSN), new technologies like the Internet-of-Things (IoT) are being created. There may be challenges that come because when implementing these application areas in practice. The primary issue is energy utilization while data transmission between these resource restricted sensors. In this work, we present a cluster-based routing protocol for IoT to anticipate energy utilization. Furthermore, for cluster head selection and cluster updation, we presented a multi-population ensemble particle swarm optimizer. The simulation was carried out using the MATLAB platform and demonstrates its superiority over different approaches.

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