Cited By
View all- Geeta KPrasad V(2023)Self-improved algorithm for cloud load balancing under SLA constraintsService Oriented Computing and Applications10.1007/s11761-023-00366-817:4(277-291)Online publication date: 4-Aug-2023
Fuzzy based Load Balancing in Sensor Cloud: Multi-Agent Approach
Pages 1685 - 1710
Abstract
In recent years, sensor cloud showing its impact in the networking field and also it is being used for most of the applications. The major concern for sensor cloud is its lifetime because yet nodes are operated with limited energy, bandwidth and exhaust very soon affecting the whole network. To make reliable communication and optimizing the whole system for improving network lifetime, load balancing concept is included in sensor cloud. The fuzzy optimizer is responsible for finding the deserving cluster head and precise next hop node for information transmission. Fuzzy method is conducted at the sensor cloud server and the information is shared to sink node for physical network setup. Based on the importance of the information coming from physical network, it can be saved into priority or non priority servers using information classification technique leading to load balancing at server also. Agents are triggered into the network for information collection along with truthful information delivery ratio in a minimum time. The proposed method is compared with existing popular methods to check the load balancing capacity, and it is found that the proposed work is far better than existing methods with respect to response time, delay, energy consumption, minimum packets transmission and network lifetime.
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© Springer Science+Business Media, LLC, part of Springer Nature 2020.
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Kluwer Academic Publishers
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Publication History
Published: 01 March 2021
Accepted: 29 October 2020
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View all- Geeta KPrasad V(2023)Self-improved algorithm for cloud load balancing under SLA constraintsService Oriented Computing and Applications10.1007/s11761-023-00366-817:4(277-291)Online publication date: 4-Aug-2023