Immune system inspired reliable query dissemination in wireless sensor networks

Authors:
Rui Teng;Kenji Leibnitz;Bing Zhang
Affiliations:
National Institute of Information and Communications Technology, Japan;National Institute of Information and Communications Technology, Japan;National Institute of Information and Communications Technology, Japan
Venue:
ICARIS'11 Proceedings of the 10th international conference on Artificial immune systems
Year:
2011

Citing 8
Cited 0

Directed diffusion for wireless sensor networking

IEEE/ACM Transactions on Networking (TON)
Event-to-sink reliable transport in wireless sensor networks

IEEE/ACM Transactions on Networking (TON)
Architecture for an Artificial Immune System

Evolutionary Computation
Immune system based distributed node and rate selection in wireless sensor networks

Proceedings of the 1st international conference on Bio inspired models of network, information and computing systems
Enhancing Route Recovery for QAODV Routing in Mobile Ad Hoc Networks

ISPAN '08 Proceedings of the The International Symposium on Parallel Architectures, Algorithms, and Networks
Advances in artificial immune systems

IEEE Computational Intelligence Magazine
An artificial immune system architecture for computer securityapplications

IEEE Transactions on Evolutionary Computation
Pump-slowly, fetch-quickly (PSFQ): a reliable transport protocol for sensor networks

IEEE Journal on Selected Areas in Communications

Quantified Score

Hi-index	0.00

Visualization

Abstract

Wireless sensor networks collect data from sensor nodes according to each query from users. These query messages are disseminated from the sink node in a multihop manner into the network. However, packet losses may result in the failure of sensor nodes correctly receiving the query message and timely reporting the requested data. In this paper, we propose an immune system inspired approach to locally discover and recover from losses of query messages at sensor nodes. The proposed approach enables high success rate of query messages delivery by utilizing local clusters of "loss detectors" around each sensor node, which cooperate in a distributed and scalable manner to recognize and recover from losses of query messages, similar to antibodies in an immune system.