Titlebook: ;

reception

https://doi.org/10.1007/978-1-349-06301-7pon the available energy at the sensors as well as the states of their energy harvesting and data generation processes. Two separate scenarios are considered where the state of the relay node is either fully or partially observable at the source node, and the scenarios are modeled using a Markov Dec

ADJ

chandel

Evolving Communications Architectures: More Local Is More Greenmobile devices increases, it is important that the linear growth in energy consumption be avoided, or mobile communications will become an increasing source of energy consumption, and visual obstruction. This chapter discusses the potential evolution of mobile architectures that can be both more res

憤憤不平

拖網(wǎng)

POWER

Energy Efficient MACia data streaming, the low-rate networks mainly focus on monitoring and control applications. In most of the applications, nodes are expected to operate on battery. For saving energy in those types of networks, medium access control (MAC) protocols have been considered as one of the most essential a

是剝皮

忘川河

泥沼

Cooperative Relay Scheduling in Energy Harvesting Sensor Networksare increasingly deployed in inaccessible and remote regions for applications such as environmental monitoring, relief operations, and defense. In such networks, energy harvesting and cooperative communication paradigms are used simultaneously to design energy-efficient relay scheduling strategies.

赦免

Energy-Efficient Parallel Packet Forwardingquirement. On the other hand, energy/ power consumption has been a critical challenge for Internet infrastructure. It has been shown that two thirds of power dissipation inside a core router is due to packet forwarding. This chapter studies the problem of energy-efficient parallel packet forwarding