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H-NAMe: A Hidden-Node Avoidance Mechanism for Wireless Sensor Networks
Ref: HURRAY-TR-090802       Publication Date: 20 to 22, May, 2009

H-NAMe: A Hidden-Node Avoidance Mechanism for Wireless Sensor Networks

Ref: HURRAY-TR-090802       Publication Date: 20 to 22, May, 2009

Abstract:
The hidden-node problem has been shown to be a major source of Quality-of-Service (QoS) degradation in Wireless Sensor Networks (WSNs) due to factors such as the limited communication range of sensor nodes, link asymmetry and the characteristics of the physical environment. In wireless contention-based Medium Access Control protocols, if two nodes that are not visible to each other transmit to a third node that is visible to the formers, there will be a collision ? usually called hidden-node or blind collision. This problem greatly affects network throughput, energy-efficiency and message transfer delays, which might be particularly dramatic in large-scale WSNs. This paper tackles the hidden-node problem in WSNs and proposes H-NAMe, a simple yet efficient distributed mechanism to overcome it. H-NAMe relies on a grouping strategy that splits each cluster of a WSN into disjoint groups of non-hidden nodes and then scales to multiple clusters via a cluster grouping strategy that guarantees no transmission interference between overlapping clusters. We also show that the H-NAMe mechanism can be easily applied to the IEEE 802.15.4/ZigBee protocols with only minor add-ons and ensuring backward compatibility with the standard specifications. We demonstrate the feasibility of H-NAMe via an experimental test-bed, showing that it increases network throughput and transmission success probability up to twice the values obtained without H-NAMe. We believe that the results in this paper will be quite useful in efficiently enabling IEEE 802.15.4/ZigBee as a WSN protocol.

Authors:
Anis Koubâa
,
Ricardo Severino
,
Mário Alves
,
Eduardo Tovar


8th IFAC International Conference on Fieldbuses and Networks in Industrial and Embedded Systems (FET'09), 8, pp 10-19.
Ansan, South Korea.

DOI:10.3182/20090520-3-KR-3006.00003.



Record Date: 29, Aug, 2009