Application of Swarm Intelligence Based Routingprotocols for Wireless Adhoc Sensor Network
The enormous growth of wireless sensor network (WSN) research has opined challenges about their ease in implementation and performance evaluation. Efficient swarm intelligence based routing protocols that can be used to obtain the application specific service guarantee are the key design issues in d...
Main Author: | |
---|---|
Format: | Article |
Language: | English |
Published: |
IFSA Publishing, S.L.
2011-07-01
|
Series: | Sensors & Transducers |
Subjects: | |
Online Access: | http://www.sensorsportal.com/HTML/DIGEST/july_2011/P_824.pdf |
id |
doaj-141a1942d11840dba40ce41f27d30dd2 |
---|---|
record_format |
Article |
spelling |
doaj-141a1942d11840dba40ce41f27d30dd22020-11-24T23:24:04ZengIFSA Publishing, S.L.Sensors & Transducers2306-85151726-54792011-07-0113074860Application of Swarm Intelligence Based Routingprotocols for Wireless Adhoc Sensor Network Mrutyunjaya PANDA0Department of Electronics and Communication Engineering Gandhi Institute for Technological Advancement, Bhubaneswar Odisha, IndiaThe enormous growth of wireless sensor network (WSN) research has opined challenges about their ease in implementation and performance evaluation. Efficient swarm intelligence based routing protocols that can be used to obtain the application specific service guarantee are the key design issues in designing a WSN model. In this paper, an experimental testbed is designed with 100 sensor nodes deployed in a dense environment to address the scalability and performance issues of WSN. In this paper, we use Flooded Piggyback (FP) and SC-MCBR ant colony based routing along with AODV and MCBR Tree in order to design an efficient WSN model. Finally, simulation results are presented with various performance measures to understand the efficacy of the proposed WSN design. http://www.sensorsportal.com/HTML/DIGEST/july_2011/P_824.pdfWireless sensor networkAnt-colonySwarm intelligenceEnergyLatencyThroughput |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Mrutyunjaya PANDA |
spellingShingle |
Mrutyunjaya PANDA Application of Swarm Intelligence Based Routingprotocols for Wireless Adhoc Sensor Network Sensors & Transducers Wireless sensor network Ant-colony Swarm intelligence Energy Latency Throughput |
author_facet |
Mrutyunjaya PANDA |
author_sort |
Mrutyunjaya PANDA |
title |
Application of Swarm Intelligence Based Routingprotocols for Wireless Adhoc Sensor Network |
title_short |
Application of Swarm Intelligence Based Routingprotocols for Wireless Adhoc Sensor Network |
title_full |
Application of Swarm Intelligence Based Routingprotocols for Wireless Adhoc Sensor Network |
title_fullStr |
Application of Swarm Intelligence Based Routingprotocols for Wireless Adhoc Sensor Network |
title_full_unstemmed |
Application of Swarm Intelligence Based Routingprotocols for Wireless Adhoc Sensor Network |
title_sort |
application of swarm intelligence based routingprotocols for wireless adhoc sensor network |
publisher |
IFSA Publishing, S.L. |
series |
Sensors & Transducers |
issn |
2306-8515 1726-5479 |
publishDate |
2011-07-01 |
description |
The enormous growth of wireless sensor network (WSN) research has opined challenges about their ease in implementation and performance evaluation. Efficient swarm intelligence based routing protocols that can be used to obtain the application specific service guarantee are the key design issues in designing a WSN model. In this paper, an experimental testbed is designed with 100 sensor nodes deployed in a dense environment to address the scalability and performance issues of WSN. In this paper, we use Flooded Piggyback (FP) and SC-MCBR ant colony based routing along with AODV and MCBR Tree in order to design an efficient WSN model. Finally, simulation results are presented with various performance measures to understand the efficacy of the proposed WSN design.
|
topic |
Wireless sensor network Ant-colony Swarm intelligence Energy Latency Throughput |
url |
http://www.sensorsportal.com/HTML/DIGEST/july_2011/P_824.pdf |
work_keys_str_mv |
AT mrutyunjayapanda applicationofswarmintelligencebasedroutingprotocolsforwirelessadhocsensornetwork |
_version_ |
1725562089805709312 |