Paper Info
Title
Ant colony-based many-to-one sensory data routing in Wireless Sensor Networks
Abstract
An ant colony-based routing protocol is presented in this paper that is specifically designed to route many-to-one sensory data in a multi-hop Wireless Sensor Network (WSN). Because a many-to-one routing paradigm generates lots of traffic in a multi-hop WSN resulting in greater energy wastage, higher end-to-end delay and packet loss, the proposed routing protocol also comes with a lightweight congestion control mechanism, which is capable of handling both event-based and periodic upstream sensory data flow to the base station. The proposed protocol works in two-phases. During the first phase, the protocol uses ant-based intelligence to find and enforce the shortest path and in the second phase, when the actual many-to-one sensory data transmission takes place, the protocol combines the knowledge gained during the first phase with the congestion control mechanism to avoid packet loss and traffic while routing the sensory data. When compared with the related algorithms, the proposed algorithm shows promising results.
Year
DOI
Venue
2008
10.1109/AICCSA.2008.4493668
AICCSA
Keywords
Field
DocType
many-to-one routing paradigm,actual many-to-one sensory data,sensory data,proposed routing protocol,proposed protocol work,packet loss,wireless sensor networks,congestion control mechanism,proposed algorithm,many-to-one sensory data,colony-based many-to-one sensory data,periodic upstream sensory data,data transmission,base station,congestion control,routing protocol,shortest path,wireless sensor network,routing protocols,ant colony,packet switching,end to end delay,data flow
Link-state routing protocol,Dynamic Source Routing,Path vector protocol,Enhanced Interior Gateway Routing Protocol,Computer science,Computer network,Wireless Routing Protocol,Routing Information Protocol,Zone Routing Protocol,Distributed computing,Routing protocol
Conference
ISSN
ISBN
Citations 
2161-5322
978-1-4244-1968-5
9
PageRank 
References 
Authors
0.55
6
5
Name
Order
Citations
PageRank
Reza GhasemAghaei1152.08
ASM Mahfujur Rahman2454.18
Md. Abdur Rahman313521.75
Wail Gueaieb427232.84
Abdulmotaleb El-Saddik52416248.48