Titlebook: Nature Inspired Computing for Wireless Sensor Networks; Debashis De,Amartya Mukherjee,Nilanjan Dey Book 2020 Springer Nature Singapore Pte

浮雕

Bio-inspired Algorithm for Multi-objective Optimization in Wireless Sensor Networkin current years, the domain-specific understanding still needs to be improved for its establishment. In this chapter bio-inspired algorithms are discussed concisely with their importance in the field of wireless sensor networks.

縮影

TLBO Based Cluster-Head Selection for Multi-objective Optimization in Wireless Sensor Networkselection in WSN using Teaching-Learning-Based-Optimization (TLBO). This optimization consists of two basic elements such as teacher and student based natural relation between both entities. The TLBO helps to optimize several conflicting objectives of the network efficiently in terms of learning meth

Breach

Nature-Inspired Algorithms for Reliable, Low-Latency Communication in Wireless Sensor Networks for Pechnology and the pressing need for the design of reliable, low-power networks. The most important key in WSN design is the task of finding the optimal path for transmission of sensor data to achieve energy efficiency and reduce costs, while catering to the needs of the application. Nature is arguab

breadth

懶惰民族

nt extensions. ?Through examination of ?various quantum-mechanical systems, the authors show how quantization problems associated with the correct definition of observables and their spectral analysis can be tr978-0-8176-4662-2Series ISSN 1544-9998 Series E-ISSN 2197-1846

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調(diào)整

Debashis De,Amartya Mukherjee,Santosh Kumar Das,Nilanjan Deyhardware cores. We detail a case study that runs two applications on an architecture with one CPU and 12 reconfigurable hardware cores and present self-expression strategies for adapting under performance, temperature and even conflicting constraints. The case study demonstrates that the reference a

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angiography