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For proper and efficient design of wireless sensor network, minimum energy consumption within the sensors and a longer lifespan of sensor network has been posing a serious challenge for the engineers and scientists. Clustering infrastructure which allows efficient use of available resource has great potential in solving the problems of resource limited wireless sensor network. Attempts are made in...
Energy model is an important consideration for designing clustering protocols in Wireless Sensor Networks. By considering both energy consumption of transmitter and receiver, a more accurate energy-efficient protocols can be proposed. This paper shows node degree as a criterion to ensure minimum energy dissipation in the network when both components of the energy model are considered. This paper proposes...
In recent years, wireless sensor networks become a new way to obtain information from an interesting area. There are many extensive applications of wireless sensor networks such as environment monitoring, surveillance, enemy tracking, etc. Since the available energy of sensor nodes are limited and hard to renew, energy supervision is critical for nodes and network lifetime in wireless sensor networks...
The optimal number of cluster heads is an important parameter of wireless sensor network performance. Network nodes will consume more energy if the number of cluster heads is too much or too little. This paper focuses on novel calculation method for optimal number of cluster heads. Base on the analysis of LEACH energy dissipation model, novel calculation method is derived from the total energy dissipation...
Minimizing energy dissipation and maximizing network lifetime are important issues in the design of applications and protocols for sensor networks. Energy-efficient sensor state planning consists in finding an optimal assignment of states to sensors in order to maximize network lifetime. For example, in area surveillance applications, only an optimal subset of sensors that fully covers the monitored...
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