An energy-efficient MAC protocol for wireless sensor networks

By Wei Ye, John S. Heidemann, Deborah Estrin. Proceedings.Twenty-First Annual Joint Conference of the IEEE Computer and Communications Societies, 2002

6,047 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/01c06f8e57f25c0fae7ad2ab644c604630e28fb6

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Networks and Communications

1. David E. Culler
2. Ian F. Akyildiz
3. Deborah Estrin
4. Bhaskar Krishnamachari
5. John S. Heidemann
6. Mani B. Srivastava
7. Ramesh Govindan
8. J. Stankovic

In Electrical and Electronic Engineering

1. Adam Dunkels
2. David E. Culler
3. Bhaskar Krishnamachari
4. Ian F. Akyildiz
5. Deborah Estrin
6. J. Stankovic
7. John S. Heidemann
8. David B. Johnson

Citations in the corpus

• X-MAC: a short preamble MAC protocol for duty-cycled wireless sensor networks (2006, methodology): “S-MAC [ 16 ] is a low power RTC-CTS based MAC protocol that makes use of loose synchronization between nodes to allow for duty cycling in sensor networks.”
• WiseMAC: An Ultra Low Power MAC Protocol for Multi-hop Wireless Sensor Networks (2004, methodology): “An energy efficient wireless MAC protocol must minimize the four sources of energy waste [14]: idle listening, overhearing, collisions and protocol overhead.”
• Spatial correlation-based collaborative medium access control in wireless sensor networks (2006, methodology): “In this section, we present the performance results for our CMAC in comparison with TRAMA [19], SMAC [25], IEEE 802.”
• The Coverage Problem in a Wireless Sensor Network (2003, background): “…of Algorithms and Problem Complexity]: Non­numerical Algorithms and Problems Geometrical problems and computations, Routing and layout General Terms Algorithms, Measurement, Reliability, Performance, Theory Keywords ad hoc network, computer geometry, coverage problem, ubiquitous computing,…”
• Mica: A Wireless Platform for Deeply Embedded Networks (2002, background): “Researchers from the University of California, Los Angeles, have exploited this flexibility to create energy-aware MAC protocols.(6)”
• Aggregation tree construction in sensor networks (2003, background): “Example applications include habitat monitoring [8], [10], contamination transport monitoring [4], forest fire pre-warning [15], etc.”
• Survey and benchmark of block ciphers for wireless sensor networks (2006, neutral): “The lower limit of 8 bytes is close to the minimum packet size (usually the size of control packets) used in mainstream link-layer protocols [Ye et al. 2002; van Dam and Langendoen 2003; Polastre et al. 2004].”
• Optimizing Sensor Networks in the Energy-Latency-Density Design Space (2002, methodology): “The same principle of duty cycling the radio is also adapted in the Medium Access Control (MAC) protocol presented in [ 16 ], called S-MAC.”
• WirelessHART: Applying Wireless Technology in Real-Time Industrial Process Control (2008, background): “The specific timing requirement inside a WirelessHART time slot is depicted in Figure 3 and the implementation issues are addressed in Section 4.”
• Wakeup scheduling in wireless sensor networks (2006, background): “In this pattern which is shown in Figure 2, all the nodes in the network wake up at the same time according to a simple periodic pattern with a xed period Te = T . This pattern is very similar to the S-MAC protocol [ 1 , 2]. In the gure, the delay of a message that arrives at the base station and is”
• Middleware to support sensor network applications (2004, background): “Service discovery is useful for dynamic sensor networks to know what sensors and/or services are available; however, access to services remains object-based, similar to Corba.”
• Topology control for wireless sensor networks (2003, background): “When inter-AN re­laying becomes feasible and favorable, we continue to develop an optimal parallel relay allocation to further prolong the topological lifetime of the WSN.”
• HEED: a hybrid, energy-efficient, distributed clustering approach for ad hoc sensor networks (2004, background): “Reducing energy consumption due to wasteful sources has been primarily addressed in the context of adaptive MAC protocols, such as PAMAS [34], DBTMA [35], EAR [36], and S-MAC [37].”
• A Survey of Energy-Efficient Scheduling Mechanisms in Sensor Networks (2006, background): “, [23] and [33]) reduce energy consumption by minimizing radio transceivers’ idle time.”
• The Evolution of MAC Protocols in Wireless Sensor Networks: A Survey (2013, methodology): “Many protocols such as MFP [13], B-MAC+ [14], SpeckMAC [15], DPS-MAC (Divided Preamble SamplingMAC) [16], and SyncWUF [17] share the similarity although they utilize different information for different problems.”
• Energy-efficient collision-free medium access control for wireless sensor networks (2003, methodology): “11 [14] and S-MAC [25] as example contention-based protocols, we use Node Activation Multiple Access (NAMA) [5] as example scheduling-based protocol.”
• Internet of Things (IoT) for Next-Generation Smart Systems: A Review of Current Challenges, Future Trends and Prospects for Emerging 5G-IoT Scenarios (2020, neutral): “efficient MAC protocols [19] and cross-layer protocols [20].”