In Wireless Sensor Networks (WSN), neglecting the
effects of varying channel quality can lead to an
unnecessary wastage of precious battery resources and in
turn can result in the rapid depletion of sensor energy and
the partitioning of the network. Fairness is a critical issue
when accessing a shared wireless channel and fair
scheduling must be employed to provide the proper flow
of information in a WSN. In this paper, we develop a
channel adaptive MAC protocol with a traffic-aware
dynamic power management algorithm for efficient packet
scheduling and queuing in a sensor network, with time
varying characteristics of the wireless channel also taken
into consideration. The proposed protocol calculates a
combined weight value based on the channel state and link
quality. Then transmission is allowed only for those nodes
with weights greater than a minimum quality threshold
and nodes attempting to access the wireless medium with a
low weight will be allowed to transmit only when their
weight becomes high. This results in many poor quality
nodes being deprived of transmission for a considerable
amount of time. To avoid the buffer overflow and to
achieve fairness for the poor quality nodes, we design a
Load prediction algorithm. We also design a traffic aware
dynamic power management scheme to minimize the
energy consumption by continuously turning off the radio
interface of all the unnecessary nodes that are not included
in the routing path. By Simulation results, we show that
our proposed protocol achieves a higher throughput and
fairness besides reducing the delay
Description:
IJCSNS International Journal of Computer Science and Network Security, VOL.10 No.7, July 2010
Binu, G S; Dr.Poulose Jacob, K(Cochin University of Science & Technology, November , 2011)
[+]
[-]
Abstract:
The proliferation of wireless sensor networks in a large spectrum of applications had been spurered by the rapid advances in MEMS(micro-electro mechanical systems )based sensor technology coupled with low power,Low cost digital signal processors and radio frequency circuits.A sensor network is composed of thousands of low cost and portable devices bearing large sensing computing and wireless communication capabilities. This large collection of tiny sensors can form a robust data computing and communication distributed system for automated information gathering and distributed sensing.The main attractive feature is that such a sensor network can be deployed in remote areas.Since the sensor node is battery powered,all the sensor nodes should collaborate together to form a fault tolerant network so as toprovide an efficient utilization of precious network resources like wireless channel,memory and battery capacity.The most crucial constraint is the energy consumption which has become the prime challenge for the design of long lived sensor nodes.
Description:
Dept.of Computer Science ,Cochin University of Science and Technology