Fuzzy based Load Balancing in Sensor Cloud: Multi-Agent Approach
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Fuzzy based Load Balancing in Sensor Cloud: Multi‑Agent Approach Prashant Sangulagi1 · Ashok Sutagundar2 Accepted: 29 October 2020 © Springer Science+Business Media, LLC, part of Springer Nature 2020
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. Keywords Sensor cloud · Fuzzy logic · Load balance · Agents · Network lifetime · Optimization
1 Introduction Sensor Cloud (SC) is an improved configuration of cloud computing and sensor network combinations which overcome the drawbacks coming with conventional physical networks like energy consumption, bandwidth, storage and overall network efficiency [1]. The physical sensor network fails to provide sufficient storage, bandwidth and energy, hence diminishes the overall network lifetime. The cloud computing store the information coming from * Prashant Sangulagi [email protected] Ashok Sutagundar [email protected] 1
Bheemanna Khandre Institute of Technology, Bhalki, Karnataka, India
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Basaveshwar Engineering College, Bagalkot, Karnataka, India
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the physical sensor network and if required it process, compute and provides service to the users anywhere and at anytime. Integrating Wireless Sensor Network (WSN) and Cloud Computing (CC) is beneficial to most of the WSN applications like military applications, industrial applications, remote monitoring, forest applications, telemetric, healthcare etc. [2, 3]. The SC improves the sensor network to next level where all the sensed data are saved into SC server and can be accessed by the user anywhere and anytime. The SC can be used for huge information analysis, visualization, information processing, collaboration, resource optimization, scalability, power processing and storage [4]. Sensor cloud mainly co
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