An Enhanced I-spin to improve the Energy Efficiency for Wireless Sensor Networks

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Abstract
A wireless sensor network (WSN) is made
up of spatially distributed autonomous sensors to
monitor various conditions such as physical or
environmental conditions. And cooperatively pass
their data through the network to a main location. The
challenge remains in designing a good routing
protocol which provides the solution for various issues
such as energy awareness, adaptability and
computational speed. But in WSN the main area of
concentration is that of using a minimal energy
resources and routing a data in an efficient manner.
But in a network, energy loss is due to the routing
of data. Protocols like classical flooding, ideal case,
gossiping, spin and i-spin can reduce the consumption
drastically due to the redundancy and resource
blindness. To overcome this disadvantage, we present
a novel protocol called enhanced i-spin which has a
meta data descriptor and the data is sent on the shortest
path. On performing simulation of enhanced i-spin, we
compared the above mentioned protocols, and the
graph results prove that i-spin has higher percentage in
disseminating data at a fixed energy level.
Keywords:Meta data descriptor, resource blindness,
data redundancy, routing, dissemination.
I.Introduction
A wireless sensor network (WSN) consists of
spatially distributed autonomous sensor to monitor
physical or environmental conditions such as
temperature, sound, vibration, pressure, motion or
pollutants and to cooperatively pass their data through
the networks to the main location. It contains large
number of sensor nodes in which it either phenomena
or very close to it. The protocols used in a WSN to be
self-organizing and should be the energy of sensor networks. It is used to processed data instead of
sending the raw data to the nodes.
SENSOR NETWORK
CHALLENGES AND KEY ISSUES
It contains the enormous application of
WSN’s and it to be constrained in a bandwidth and
energy supply. It poses the unique constraints and
hardware I it.
A. Some of the Major Challenges
Nature of deployment, self-configuration,
Reliability, quality of service, mobility, security.
B. System Architecture and Design Issues of
Sensor Networks
It is used to build of “nodes”-from a several
thousands of nodes is connected to one sensors. Each
network is typically several parts.
A sensor node consists of radio transceiver,
and it contains both transmitter and receiver in a single
unit. Simply we can imagine that the sensor nodes can
be done in small computers, and it is basic in terms of
interfaces and components and it usually contains
computational power and limited memory, sensors or
MEMS.
References:
- Karthik Kuppaswamy, ”Maximising the System Lifrtime in Wireless Sensor Networks using Improved Routing Algorithm “, Southern Illinois University Carbondale, karthik@siu.edu
- Joanna Kulik, Wendi Heinzelman, Hari Balakrishnan,” negotiation based protocols for disseminating information in wireless sensor networks”, MIT laboratory for computer science, Cambridge, MA 02139, USA.
- Deepak ganesan, Deborah EstrinAlec Woo, David Culler, “Complex Behavior at Scale: An Experimental study of low-power wireless sensor networks” UCLA computer department UCberkeley, computer science division,{Deepak, destrin} @lecs.cs.ucla.edu {awoo, culler}@cs.berkely.edu. Bhaskar krishnamachari , Stephen wicker Cornell university, bhaskar@ece.cornell.edu, wicker@ee.cornell.edu.
- Jamal N.Al-Ahemed E.Kamal dept. of Electrical and Computer Engineering Lowa State University, Ames, Iowa 50011 Email {jkaraki, kamal} @iastate.edu, “Routing Techniques in Wireless Sensor Network: A Survey”.