Wireless Sensor Networks (WSNs) can be defined as a self-configured and infrastructure-less wireless networks to monitor physical or environmental conditions, such as
temperature, sound, vibration, pressure, motion or pollutants and to cooperatively pass
their data through the network to a main location or sink where the data can be observed
and analysed. A sink or base station acts likean interface between users and the network.
One can retrieve required information from the network by injecting queries and gathering
results from the sink.
Wireless Sensor Networks hold the promise of delivering a smart communication
paradigm which enables setting up an intelligent network capable of handling
applications that evolve from user requirements. With the recent technological
advances of wireless sensor network, it is becoming an integral part of our lives.
However, due to the nature of wireless sensor networks, researchers face new
challenges related to the design of algorithms and protocols.
Topology Control in Wireless Ad Hoc and Sensor Networks makes the case for topology control and provides an exhaustive coverage of TC techniques in wireless ad hoc and sensor networks, considering both stationary networks, to which most of the existing solutions are tailored, and mobile networks. The author introduces a new taxonomy of topology control and gives a full explication of the applications and challenges of this important topic.
Wireless sensor nodes are small, embedded computing devices that interface with sensors/
actuators and communicate using short-range wireless transmitters. Such nodes act
autonomously, but cooperatively to form a logical network, in which data packets are routed
hop-by-hop towards management nodes, typically called sinks or base stations. A Wireless
Sensor Network (WSN) comprises of a potentially large set of nodes that may be distributed
over a wide geographical area, indoor or outdoor
Over the past decade, there has been a prolific increase in the research, development
and commercialisation of Wireless Sensor Networks (WSNs) and their associated technologies
(see Figure 1). This rise has been a result of a number of contributing factors,
including continued miniaturisation (leading towards an era of truly ‘pervasive’ and
‘invisible’ computing); low-power circuits, devices and computation (for example, the
ultra-low-power sleep states now found in microcontrollers); and efficient short-range
communication (such as ZigBee and Bluetooth).
Mobile and wireless communications applications have clear impact on improving the
humanity wellbeing. From cell phones to wireless internet to home and office devices, most of
the applications are converted from wired into wireless communication. Smart and advanced
wireless communication environments represent the future technology and evolutionary
development step in home, hospitals, industrial, and vehicular and transportation systems.
Wireless Sensor Networking is one of the most important new technologies of the
century and has been identified to see significant grow in the next decades. Wireless
sensor networks are power-efficient, small-size and communicate wirelessly among each
other to cooperatively monitor and access the properties of their targeted environments.
Applications reach from health monitoring, through industrial and environmental
monitoring to safety applications.
Wireless Sensor Networks came into prominence around the start of this millennium
motivated by the omnipresent scenario of small-sized sensors with limited power deployed
in large numbers over an area to monitor different phenomenon. The sole motivation
of a large portion of research efforts has been to maximize the lifetime of the
network, where network lifetime is typically measured from the instant of deployment
to the point when one of the nodes has expended its limited power source and becomes
in-operational – commonly referred as first node failure....
Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Research Article Master Synchronization in Physical-Layer Communications of Wireless Sensor Networks