Highly-resilient, energy-efficient multipath routing in wireless sensor networks
ACM SIGMOBILE Mobile Computing and Communications Review
PSFQ: a reliable transport protocol for wireless sensor networks
WSNA '02 Proceedings of the 1st ACM international workshop on Wireless sensor networks and applications
Information assurance in sensor networks
WSNA '03 Proceedings of the 2nd ACM international conference on Wireless sensor networks and applications
ReInForM: Reliable Information Forwarding Using Multiple Paths in Sensor Networks
LCN '03 Proceedings of the 28th Annual IEEE International Conference on Local Computer Networks
A scalable approach for reliable downstream data delivery in wireless sensor networks
Proceedings of the 5th ACM international symposium on Mobile ad hoc networking and computing
Magnetic diffusion: disseminating mission-critical data for dynamic sensor networks
MSWiM '05 Proceedings of the 8th ACM international symposium on Modeling, analysis and simulation of wireless and mobile systems
Event-to-sink reliable transport in wireless sensor networks
IEEE/ACM Transactions on Networking (TON)
On-Demand Reliable Medium Access in Sensor Networks
WOWMOM '06 Proceedings of the 2006 International Symposium on on World of Wireless, Mobile and Multimedia Networks
Minimum energy probabilistic reliable data delivery in wireless sensor networks
Proceedings of the 11th international symposium on Modeling, analysis and simulation of wireless and mobile systems
International Journal of Sensor Networks
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In this paper, we propose and study two adaptive media access control protocols to support probabilistic data delivery reliability in sensor networks using MAC layer retransmissions. Since retransmissions consume energy, our adaptive p-persistent CSMA protocols tune their persistence probabilities in an effort to minimize the expected number of retransmissions that meet a given probabilistic reliability requirement, and thereby minimize energy consumption in the network. We formulate this problem of reliability with minimal energy consumption at the MAC layer as a constrained optimization problem and then derive the algorithms to adapt the persistence probabilities using the Lagrangian dual decomposition method.