IDMMAC: Interference aware Distributed Multi-channel MAC protocol for WSAN
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In this paper, an interference aware distributed multi-channel MAC (IDMMAC) protocol is proposed forwireless sensor and actor networks (WSANs). The WSAN consists of a huge number of sensors and ampleamount of actors. Hence, in the IDMMAC protocol a lightweight channel selection mechanism is proposed toenhance the sensor's lifetime. The IDMMAC protocol divides the beacon interval into two phases (i.e., the adhoctraffic indication message (ATIM) window phase and data transmission phase). When a sensor wants totransmit event information to the actor, it negotiates the maximum packet reception ratio (PRR) and thecapacity channel in the ATIM window with its 1-hop sensors. The channel negotiation takes place via acontrol channel. To improve the packet delivery ratio of the IDMMAC protocol, each actor selects a backupcluster head (BCH) from its cluster members. The BCH is elected based on its residual energy and nodedegree. The BCH selection phase takes place whenever an actor wants to perform actions in the event area orit leaves the cluster to help a neighbor actor. Furthermore, an interference and throughput aware multichannelMAC protocol is also proposed for actor-actor coordination. An actor selects a minimuminterference and maximum throughput channel among the available channels to communicate with thedestination actor. The performance of the proposed IDMMAC protocol is analyzed using standard networkparameters, such as packet delivery ratio, end-to-end delay, and energy dissipation, in the network. Theobtained simulation results indicate that the IDMMAC protocol performs well compared to the existing MACprotocols.
Abstract
In this paper, an interference aware distributed multi-channel MAC (IDMMAC) protocol is proposed forwireless sensor and actor networks (WSANs). The WSAN consists of a huge number of sensors and ampleamount of actors. Hence, in the IDMMAC protocol a lightweight channel selection mechanism is proposed toenhance the sensor's lifetime. The IDMMAC protocol divides the beacon interval into two phases (i.e., the adhoctraffic indication message (ATIM) window phase and data transmission phase). When a sensor wants totransmit event information to the actor, it negotiates the maximum packet reception ratio (PRR) and thecapacity channel in the ATIM window with its 1-hop sensors. The channel negotiation takes place via acontrol channel. To improve the packet delivery ratio of the IDMMAC protocol, each actor selects a backupcluster head (BCH) from its cluster members. The BCH is elected based on its residual energy and nodedegree. The BCH selection phase takes place whenever an actor wants to perform actions in the event area orit leaves the cluster to help a neighbor actor. Furthermore, an interference and throughput aware multichannelMAC protocol is also proposed for actor-actor coordination. An actor selects a minimuminterference and maximum throughput channel among the available channels to communicate with thedestination actor. The performance of the proposed IDMMAC protocol is analyzed using standard networkparameters, such as packet delivery ratio, end-to-end delay, and energy dissipation, in the network. Theobtained simulation results indicate that the IDMMAC protocol performs well compared to the existing MACprotocols.
참고문헌 (26)
- Z. Dai, "VDSPT: a sensor-actor coordination protocol for wireless sensor and actor network based on Voronoi diagram and shortest path tree", Proceedings of International Symposium on Computer Network and Multimedia Technology (CNMT2009), pp.1~4 (2009)
- G. Xing, "Multi-channel interference measurement and modeling in low-power wireless networks", Proceedings of 30th IEEE Real-Time Systems Symposium (RTSS2009), pp.248~257 (2009)
- W. Ye, "Medium access control with coordinated adaptive sleeping for wireless sensor networks", IEEE, 2004, pp.12(3), 493~506
- P. Lin, "Medium access control with a dynamic duty cycle for sensor networks", Proceedings of 2004 IEEE Wireless Communications and Networking Conference (WCNC), pp.1534~1539 (2004)
- M. F. Munir, "Low-energy, adaptive, and distributed MAC protocol for wireless sensor-actuator networks", Proceedings of IEEE 18th International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC2007), pp.1~5 (2007)
- I. Rhee, "Z-MAC : a hybrid MAC for wireless sensor networks", IEEE, 2008, pp.16(3), 511~524
- G. S. Ahn, "Funneling-MAC: a localized, sink-oriented MAC for boosting fidelity in sensor networks", Proceedings of the 4th International Conference on Embedded Networked Sensor Systems, pp.293~306 (2006)
- J. Polastre, "Versatile low power media access for wireless sensor networks", Proceedings of the 2nd International Conference on Embedded Networked Sensor Systems, pp.95~107 (2004)
- H. Pham, "An adaptive mobility-aware MAC protocol for sensor networks (MS-MAC)", Proceedings of 2004 IEEE International Conference on Mobile Ad-hoc and Sensor Systems, pp.558~560 (2004)
- V. Rajendran, "Energy-efficient, collision-free medium access control for wireless sensor networks", Wireless Networks, 12(1), pp.63~78 (2006)
- R. Kalidindi, "Distributed energy aware MAC layer protocol for wireless sensor networks", Proceedings of International Conference on Wireless Network, pp.1~5 (2003)
- S. Chatterjea, "AI-LMAC: an adaptive, information-centric and lightweight MAC protocol for wireless sensor networks", Proceedings of the 2004 Intelligent Sensors, Sensor Networks and Information Processing Conference, pp.381~388 (2004)
- T. W. Carley, "Contention-free periodic message scheduler medium access control in wireless sensor", actuator networks, 2003, 298~307
- J. So, "Multi-channel mac for ad hoc networks: handling multi-channel hidden terminals using a single transceiver", Proceedings of the 5th ACM International Symposium on Mobile Ad Hoc Networking and Computing, pp.222~233 (2004)
- J. Chen, "A new multichannel access protocol for IEEE 802. 11 ad hoc wireless LANs", Proceedings of 14th IEEE Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC2003), pp.2291~2296 (2003)
- N. Jain, "A multichannel CSMA MAC protocol with receiver-based channel selection for multihop wireless networks", Proceedings of 10th International Conference on Computer Communications and Networks, pp.432~439 (2001)
- S. L. Wu, "A new multi-channel MAC protocol with on-demand channel assignment for multi-hop mobile ad hoc networks", Proceedings of International Symposium on Parallel Architectures, Algorithms and Networks (I-SPAN2000), pp.232~237 (2000)
- Distributed channel allocation algorithms for wireless sensor networks, "A. Saifullah", Department of Computer Science and Engineering, Washington University in St. Louis, ~, pp.Technical Report WUCSE-2011-62 (2011)
- P. Bahl, "Reconsidering wireless systems with multiple radios", ACM SIGCOMM Computer Communication Review, 34(5), pp.39~46 (2004)
- J. Wang, "Opportunistic packet scheduling and media access control for wireless LANs and multi-hop ad hoc networks", Proceedings of IEEE Wireless Communications and Networking Conference (WCNC), pp.1234~1239 (2004)
- K. N. Ramachandran, "Interference-aware channel assignment in multi-radio wireless mesh networks", Proceedings of 25th IEEE International Conference on Computer Communications (INFOCOM), pp.1~12 (2006)
- K. Akkaya, "Clustering of wireless sensor and actor networks based on sensor distribution and connectivity", Journal of Parallel and Distributed Computing, 69(6), pp.573~587 (2009)
- J. Kakarla, "A new optimal delay and energy efficient coordination algorithm for WSAN", Proceedings of 2013 IEEE International Conference on Advanced Networks and Telecommuncations Systems (ANTS), pp.1~6 (2013)
- H. Khalife, "Probabilistic path selection in opportunistic cognitive radio networks", Proceedings of IEEE Global Telecommunications Conference (GLOBECOM), pp.1~5 (2008)
- C. Reis, "Measurement-based models of delivery and interference in static wireless networks", ACM SIGCOMM Computer Communication Review, 36(4), pp.51~62 (2006)
- A. Kashyap, "A measurement-based approach to modeling link capacity in 802.11-based wireless networks", Proceedings of the 13th Annual ACM International Conference on Mobile Computing and Networking, pp.242~253 (2007)