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Smitha N. Pai

Publications and source records attributed to Smitha N. Pai.

2 recordsLinked to original sources

In-network Aggregation using Efficient Routing Techniques for Event Driven Sensor Network

Sensors used in applications such as agriculture, weather, etc., monitoring physical parameters like soil moisture, temperature, humidity, will have to sustain their battery power for long intervals of time. In order to accomplish this, parameter which assists in reducing the consumption of power from battery need to be attended to. One of the factors affecting the consumption of energy is transmit and receive power. This energy consumption can be reduced by avoiding unnecessary transmission and reception. Efficient routing techniques and incorporating aggregation whenever possible can save considerable amount of energy. Aggregation reduces repeated transmission of relative values and also reduces lot of computation at the base station. In this paper, the benefits of aggregation over direct transmission in saving the amount of energy consumed is discussed. Routing techniques which assist aggregation are incorporated. Aspects like transmission of average value of sensed data around an area of the network, minimum value in the whole of the network, triggering of event when there is low battery are assimilated.

cs.NI

EBCD: a routing algorithm based on bee colony for energy consumption reduction in wireless relay networks

One of the important issues in wireless networks is the Routing problem that is effective on system performance, in this article the attempt is made to propose a routing algorithm using the bee colony in order to reduce energy consumption in wireless relay networks. In EBCD algorithm, through combined of energy, distance and traffic parameters a routing algorithm for wireless networks is presented with more efficiency than its predecessor. Applying the bee colony method would allow the placement of the parameters under conventional conditions and to get closer to a mechanism with a better adaptability than that of the existing algorithm. According to the parameters considered, the proposed algorithm provides a fitness function that can be applied as a multi-hop. Unlike other algorithms of its kind this can increase service quality based on environmental conditions through its multiple services. This new method can store the energy accumulated in the nodes and reduce the hop restrictions.

cs.NI