Abstract:
The various sensor nodes in a wireless sensor network (WSN) have restricted energy resources which severely affect the long time performance of the network. So, the curre...Show MoreMetadata
Abstract:
The various sensor nodes in a wireless sensor network (WSN) have restricted energy resources which severely affect the long time performance of the network. So, the current research focus is to design energy efficient algorithms for WSNs for improving network lifetime. This paper proposes artificial bee colony (ABC) algorithm with a clustering model to improve the energy capability of the network. The ABC algorithm can improve the internal dynamics of the cluster head nodes and sensor nodes in the WSN. The proposed algorithm can reduce the energy dissipation of nodes, balance the energy consumption across nodes and maximize the lifetime of the network. The ABC algorithm has less number of control parameters in the objective function compared to other algorithms, so it is simple to implement in clustered sensor network. The simulation results prove the superiority of the ABC algorithm compared to other algorithms in maximizing the energy efficiency and longevity of the network.
Date of Conference: 28-30 March 2018
Date Added to IEEE Xplore: 11 June 2018
ISBN Information:
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- IEEE Keywords
- Index Terms
- Sensor Networks ,
- Wireless Sensor Networks ,
- Simulation Results ,
- Energy Efficiency ,
- Efficient Algorithm ,
- Wireless Networks ,
- Network Clustering ,
- Focus Of Current Research ,
- Cluster Head ,
- Network Lifetime ,
- Food Sources ,
- Service Quality ,
- Clustering Algorithm ,
- Energy Difference ,
- Honey Bee ,
- Wireless Technologies ,
- Network Capacity ,
- Data Packets ,
- Quality Of Sources ,
- Ant Colony Optimization ,
- Routing Algorithm ,
- Residual Energy ,
- Sink Node ,
- Pheromone Trails ,
- Energy Of Nodes ,
- Food Area
- Author Keywords
Keywords assist with retrieval of results and provide a means to discovering other relevant content. Learn more.
- IEEE Keywords
- Index Terms
- Sensor Networks ,
- Wireless Sensor Networks ,
- Simulation Results ,
- Energy Efficiency ,
- Efficient Algorithm ,
- Wireless Networks ,
- Network Clustering ,
- Focus Of Current Research ,
- Cluster Head ,
- Network Lifetime ,
- Food Sources ,
- Service Quality ,
- Clustering Algorithm ,
- Energy Difference ,
- Honey Bee ,
- Wireless Technologies ,
- Network Capacity ,
- Data Packets ,
- Quality Of Sources ,
- Ant Colony Optimization ,
- Routing Algorithm ,
- Residual Energy ,
- Sink Node ,
- Pheromone Trails ,
- Energy Of Nodes ,
- Food Area
- Author Keywords