3,085 research outputs found
A Study of Medium Access Control Protocols for Wireless Body Area Networks
The seamless integration of low-power, miniaturised, invasive/non-invasive
lightweight sensor nodes have contributed to the development of a proactive and
unobtrusive Wireless Body Area Network (WBAN). A WBAN provides long-term health
monitoring of a patient without any constraint on his/her normal dailylife
activities. This monitoring requires low-power operation of
invasive/non-invasive sensor nodes. In other words, a power-efficient Medium
Access Control (MAC) protocol is required to satisfy the stringent WBAN
requirements including low-power consumption. In this paper, we first outline
the WBAN requirements that are important for the design of a low-power MAC
protocol. Then we study low-power MAC protocols proposed/investigated for WBAN
with emphasis on their strengths and weaknesses. We also review different
power-efficient mechanisms for WBAN. In addition, useful suggestions are given
to help the MAC designers to develop a low-power MAC protocol that will satisfy
the stringent WBAN requirements.Comment: 13 pages, 8 figures, 7 table
Robotic Wireless Sensor Networks
In this chapter, we present a literature survey of an emerging, cutting-edge,
and multi-disciplinary field of research at the intersection of Robotics and
Wireless Sensor Networks (WSN) which we refer to as Robotic Wireless Sensor
Networks (RWSN). We define a RWSN as an autonomous networked multi-robot system
that aims to achieve certain sensing goals while meeting and maintaining
certain communication performance requirements, through cooperative control,
learning and adaptation. While both of the component areas, i.e., Robotics and
WSN, are very well-known and well-explored, there exist a whole set of new
opportunities and research directions at the intersection of these two fields
which are relatively or even completely unexplored. One such example would be
the use of a set of robotic routers to set up a temporary communication path
between a sender and a receiver that uses the controlled mobility to the
advantage of packet routing. We find that there exist only a limited number of
articles to be directly categorized as RWSN related works whereas there exist a
range of articles in the robotics and the WSN literature that are also relevant
to this new field of research. To connect the dots, we first identify the core
problems and research trends related to RWSN such as connectivity,
localization, routing, and robust flow of information. Next, we classify the
existing research on RWSN as well as the relevant state-of-the-arts from
robotics and WSN community according to the problems and trends identified in
the first step. Lastly, we analyze what is missing in the existing literature,
and identify topics that require more research attention in the future
Proactive Energy-Efficiency: Evaluation of Duty-Cycled MAC Protocols in Wireless Sensor Networks
Duty cycling happens to be one of the major techniques for conserving energy in wireless sensor networks and this research aims to answer questions with regards to the effect of duty cycles on the energy efficiency as well as the throughput of three duty-cycled protocols – Sensor-MAC (SMAC), Timeout-MAC (TMAC) and TunableMAC. Although other duty-cycled protocols are reviewed, the aforementioned three protocols are observed in OMNET++ simulator via the Castalia framework. Graphical results are produced which show the energy consumption and throughput as the duty cycle is varied and the variations in results for each of the three protocols are analyzed. The results provide insight into how to ensure ‘proactive energy-efficiency’ whereby the impact of denial-of-sleep attacks can be minimized while throughput is maximized
Coverage and Connectivity Aware Neural Network Based Energy Efficient Routing in Wireless Sensor Networks
There are many challenges when designing and deploying wireless sensor
networks (WSNs). One of the key challenges is how to make full use of the
limited energy to prolong the lifetime of the network, because energy is a
valuable resource in WSNs. The status of energy consumption should be
continuously monitored after network deployment. In this paper, we propose
coverage and connectivity aware neural network based energy efficient routing
in WSN with the objective of maximizing the network lifetime. In the proposed
scheme, the problem is formulated as linear programming (LP) with coverage and
connectivity aware constraints. Cluster head selection is proposed using
adaptive learning in neural networks followed by coverage and connectivity
aware routing with data transmission. The proposed scheme is compared with
existing schemes with respect to the parameters such as number of alive nodes,
packet delivery fraction, and node residual energy. The simulation results show
that the proposed scheme can be used in wide area of applications in WSNs.Comment: 16 Pages, JGraph-Hoc Journa
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