Title
Assessment of the adaptive routing performance of a Wireless Sensor Network using smart antennas
Abstract
Wireless sensor networks are built from nodes which have at least one sensor attached to them. To increase robustness and capacity, a signal from one node can be routed through many different nodes before it reaches its destination node (i.e. a base station). A smart antenna with a steerable beam has the potential, compared to a monopole, to increase the signal-to-noise ratio between nodes and hence provide more reliable communication paths. In this study, the data routing and link performance of a rhombus-shaped mesh network using four IEEE 802.15.4 compliant MICAz sensor nodes (motes) is assessed using both monopole and smart antennas. Both reflectionless and multipath-rich environments are used. It is shown that the electronically steerable parasitic array smart antenna offers a superior performance to a monopole antenna in both environments, while still consuming a similar amount of input power.
Year
DOI
Venue
2014
10.1049/iet-wss.2014.0066
IET Wireless Sensor Systems
Keywords
Field
DocType
wsn,radio links,reflectionless environment,monopole antenna arrays,electronically steerable parasitic array smart antenna,data routing,motes,wireless sensor network,telecommunication network reliability,multipath rich environment,adaptive routing performance assessment,wireless mesh networks,destination node,monopole antenna,link performance,steerable beam,reliable communication path,wireless sensor networks,beam steering,telecommunication network routing,adaptive antenna arrays,rhombus shaped mesh network,ieee 802.15.4 compliant micaz sensor nodes
Base station,Mesh networking,Key distribution in wireless sensor networks,Computer science,Computer network,Robustness (computer science),Monopole antenna,Smart antenna,Adaptive routing,Wireless sensor network,Electrical engineering
Journal
Volume
Issue
ISSN
4
4
2043-6386
Citations 
PageRank 
References 
0
0.34
3
Authors
4
Name
Order
Citations
PageRank
Tian Hong Loh1113.63
Ke Liu200.34
Fei Qin3124.76
Haitao Liu400.34