Research output: Contribution to Journal/Magazine › Journal article › peer-review
Research output: Contribution to Journal/Magazine › Journal article › peer-review
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TY - JOUR
T1 - Reliable congestion-aware information transport in wireless sensor networks
AU - Shaikh, F.K.
AU - Khelil, A.
AU - Ali, A.
AU - Suri, Neeraj
PY - 2011/7/1
Y1 - 2011/7/1
N2 - Wireless sensor networks (WSNs) constitute the transportation conduit for the results of the in-network processing of the raw data. In WSNs the sensor node and communication level perturbations are often the norm than the exception due to varied environmental conditions. Consequently, the diverse applications supported by WSNs stipulate their individual (and varied) requirements for WSN information transport reliability in order to meet their specific responsiveness needs. The use of an approach that guarantees the highest reliability level for information delivery is not a realistic option as this over-provisioning wastes key resources such as energy or bandwidth. In this paper, we present a new approach termed ReCAIT that targets 'congestionaware' reliable information transport in WSNs to provide application-specific tunable reliability and thus avoids over-provisioning. To provide tunable reliability, ReCAIT efficiently integrates probabilistic adaptive retransmissions, hybrid acknowledgement and retransmission timer management. ReCAIT proactively alleviates the congestion by transporting information on multiple paths. If congestion persists ReCAIT's back-pressure mechanism triggers the information rate control. Our simulation results show that ReCAIT provides tunable reliability and mitigate congestion, which maximises the efficiency of information transport in terms of reduced number of transmissions.
AB - Wireless sensor networks (WSNs) constitute the transportation conduit for the results of the in-network processing of the raw data. In WSNs the sensor node and communication level perturbations are often the norm than the exception due to varied environmental conditions. Consequently, the diverse applications supported by WSNs stipulate their individual (and varied) requirements for WSN information transport reliability in order to meet their specific responsiveness needs. The use of an approach that guarantees the highest reliability level for information delivery is not a realistic option as this over-provisioning wastes key resources such as energy or bandwidth. In this paper, we present a new approach termed ReCAIT that targets 'congestionaware' reliable information transport in WSNs to provide application-specific tunable reliability and thus avoids over-provisioning. To provide tunable reliability, ReCAIT efficiently integrates probabilistic adaptive retransmissions, hybrid acknowledgement and retransmission timer management. ReCAIT proactively alleviates the congestion by transporting information on multiple paths. If congestion persists ReCAIT's back-pressure mechanism triggers the information rate control. Our simulation results show that ReCAIT provides tunable reliability and mitigate congestion, which maximises the efficiency of information transport in terms of reduced number of transmissions.
KW - Adaptive retransmission
KW - Communication networks
KW - Congestion control
KW - Distributed networks
KW - Information transport
KW - Tunable reliability
KW - Back pressures
KW - Communication levels
KW - Congestion-aware
KW - Diverse applications
KW - Environmental conditions
KW - In-network processing
KW - Information delivery
KW - Information rates
KW - Multiple-path
KW - Reliability level
KW - Retransmission timers
KW - Retransmissions
KW - Congestion control (communication)
KW - Energy conversion
KW - Sensor nodes
KW - Telecommunication networks
KW - Reliability
U2 - 10.1504/IJCNDS.2011.040982
DO - 10.1504/IJCNDS.2011.040982
M3 - Journal article
VL - 7
SP - 135
EP - 152
JO - International Journal of Communication Networks and Distributed Systems
JF - International Journal of Communication Networks and Distributed Systems
SN - 1754-3916
IS - 1-2
ER -