Multi-Objective Optimization Using Evolutionary Algorithms
Multi-Objective Optimization Using Evolutionary Algorithms
Wireless sensor networks for habitat monitoring
WSNA '02 Proceedings of the 1st ACM international workshop on Wireless sensor networks and applications
Optimizing Sensor Networks in the Energy-Latency-Density Design Space
IEEE Transactions on Mobile Computing
An adaptive energy-efficient MAC protocol for wireless sensor networks
Proceedings of the 1st international conference on Embedded networked sensor systems
Energy-efficient collision-free medium access control for wireless sensor networks
Proceedings of the 1st international conference on Embedded networked sensor systems
Versatile low power media access for wireless sensor networks
SenSys '04 Proceedings of the 2nd international conference on Embedded networked sensor systems
PMAC: An Adaptive Energy-Efficient MAC Protocol for Wireless Sensor Networks
IPDPS '05 Proceedings of the 19th IEEE International Parallel and Distributed Processing Symposium (IPDPS'05) - Workshop 12 - Volume 13
Proceedings of the 3rd international conference on Embedded networked sensor systems
Z-MAC: a hybrid MAC for wireless sensor networks
Proceedings of the 3rd international conference on Embedded networked sensor systems
Comparing energy-saving MAC protocols for wireless sensor networks
Mobile Networks and Applications
X-MAC: a short preamble MAC protocol for duty-cycled wireless sensor networks
Proceedings of the 4th international conference on Embedded networked sensor systems
Ultra-low duty cycle MAC with scheduled channel polling
Proceedings of the 4th international conference on Embedded networked sensor systems
Proceedings of the 6th ACM conference on Embedded network sensor systems
Crankshaft: an energy-efficient MAC-protocol for dense wireless sensor networks
EWSN'07 Proceedings of the 4th European conference on Wireless sensor networks
Sift: a MAC protocol for event-driven wireless sensor networks
EWSN'06 Proceedings of the Third European conference on Wireless Sensor Networks
When ultra low power meets high performance: the WiseMAC high availability protocol
Proceedings of the 8th ACM Conference on Embedded Networked Sensor Systems
ZeroCal: automatic MAC protocol calibration
DCOSS'10 Proceedings of the 6th IEEE international conference on Distributed Computing in Sensor Systems
Broadcast-free collection protocol
Proceedings of the 10th ACM Conference on Embedded Network Sensor Systems
Achieving energy-synchronized communication in energy-harvesting wireless sensor networks
ACM Transactions on Embedded Computing Systems (TECS) - Special Section ESFH'12, ESTIMedia'11 and Regular Papers
Journal of Network and Computer Applications
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The fundamental wireless sensors network (WSN) requirement to be energy-efficient has produced a whole range of specialized medium access control (MAC) protocols. They differ in how performance (latency, throughput) is traded off for a reduction in energy consumption. The question “which protocol is best?” is difficult to answer because (i) this depends on specific details of the application requirements and hardware characteristics involved, and (ii) protocols have mainly been assessed individually with each outperforming the canonical S-MAC protocol, but with different simulators, hardware platforms, and workloads. This article addresses that void for low data-rate applications where collisions are of little concern, making an analytical approach tractable in which latency and energy consumption are modeled as functions of key protocol parameters (duty cycle, slot length, number of slots, etc.). By exhaustive search we determine the Pareto-optimal protocol settings for a given workload (data rate, network topology). Of the protocols compared we find that WiseMAC strikes the best latency versus energy-consumption tradeoff across the range of workloads considered. In particular, its random access scheme in combination with local synchronization not only minimizes protocol overhead, but also maximizes the available channel bandwidth.