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The next technological disruption in the field of Internet of Things (IoT) is the predictive analytics on IoT. The predictive analytics on IoT not only helps us in achieving the goal of smart IoT devices but also reduces the time required to configure the IOT appliances. The branch of predictive analytics came into existence very recently after extensive research in the field of Data Analytics. Although...
The Internet of Things (IoT) enables several heterogeneous devices, sensors, wearables, appliances and many other objects to inter-communicate and provide support for heterogeneous services. An IoT network needs to enable exchange diverse data types including multimedia and sensor data and be capable of handling a large number of IoT objects offering services at high quality levels. This paper proposes...
The realization of IoT in real world without sensing devices is impossible. These sensing devices are battery operated and energy constrained in terms of computation and communication. The optimized communication leads to longer network life time. Minimum hop count, increased connectivity and scalability are challenging issues that can be effectively addressed by clustering mechanism. In the two tier...
Wireless sensor networks are a new type of networked systems, characterized by severely constrained computational and energy resources, and an ad hoc operational environment. Wireless sensor networks(WSNs) have been increasingly available for large-scale applications in which energy efficiency &, security is an important performance measure. Driven by the energy &, security limitation...
This paper firstly analyzes the impact which clustering and non-clustering structure is on sensing spectrum expenditure. Furthermore, the reason that clustering structure is adopted in hierarchical spectrum sharing network is also illustrated by numerical simulation. Secondly, a clustering algorithm, which can reduce detection expenditure, is proposed based on the similarity of the spectrum in such...
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