Medium Access Control Based on Adaptive Sleeping and Probabilistic Routing for Delay Tolerant Mobile Sensor Networks

The paper proposes a medium access control (MAC) scheme with coordinated and adaptive wakeup scheme designed for delay tolerant mobile sensor networks (DTMSNs). Many applications motivate MAC schemes for DTMSNs that are different from traditional wireless MAC such as IEEE 802.15.4 in several ways: energy conservation and average delay. MAC with coordinated and adaptive wakeup scheme protocol uses a few novel techniques to reduce energy consumption and message overhead rates. It can reduce significantly control overhead and adaptively wake up, and it avoids overhearing unnecessary traffic. Finally, in this paper, simulation applies message passing to reduce contention latency for applications that require in-network data processing. Simulation results show that MAC with Adaptive Sleeping and based on Probabilistic Routing protocol (MAC-ASPR) obtains significant energy savings compared with IEEE 802.15.4 and S-MAC.

[1]  Martin Mauve,et al.  A survey on position-based routing in mobile ad hoc networks , 2001, IEEE Netw..

[2]  M.J. Ryan,et al.  A Propagation-delay-tolerant Collision Avoidance Protocol for Underwater Acoustic Sensor Networks , 2006, OCEANS 2006 - Asia Pacific.

[3]  Ian F. Akyildiz,et al.  Wireless Sensor Networks: Akyildiz/Wireless Sensor Networks , 2010 .

[4]  Deborah Estrin,et al.  Medium access control with coordinated adaptive sleeping for wireless sensor networks , 2004, IEEE/ACM Transactions on Networking.

[5]  Yin Bo,et al.  Sleep Scheme Based on Contact Time in DTN , 2013 .

[6]  C.Y.M. Chan,et al.  An Integrated Energy Efficient Data Retrieval Protocol for Underwater Delay Tolerant Networks , 2007, OCEANS 2007 - Europe.

[7]  Bhaskar Krishnamachari,et al.  Performance evaluation of the IEEE 802.15.4 MAC for low-rate low-power wireless networks , 2004, IEEE International Conference on Performance, Computing, and Communications, 2004.

[8]  Shaharuddin Salleh,et al.  Identifying Factors Affecting Data Delivery Performance in Mobile Ad-Hoc Network Routing Protocol Using A Systematic Approach , 2008 .

[9]  Tat Chee Wan,et al.  Performance evaluation of IEEE 802.15.4 wireless multi-hop networks: simulation and testbed approach , 2007, Int. J. Ad Hoc Ubiquitous Comput..

[10]  Ieee . Wg.  Part 11 : Wireless LAN Medium Access Control (MAC) and Physical Layer (PHY) Specification , 2003 .

[11]  Koen Langendoen,et al.  Distributed localization in wireless sensor networks: a quantitative compariso , 2003, Comput. Networks.

[12]  Kevin R. Fall,et al.  A delay-tolerant network architecture for challenged internets , 2003, SIGCOMM '03.

[13]  Kee Chaing Chua,et al.  MACA-MN: A MACA-Based MAC Protocol for Underwater Acoustic Networks with Packet Train for Multiple Neighbors , 2008, VTC Spring 2008 - IEEE Vehicular Technology Conference.

[14]  Yong Wang,et al.  Energy-efficient computing for wildlife tracking: design tradeoffs and early experiences with ZebraNet , 2002, ASPLOS X.

[15]  Deborah Estrin,et al.  An energy-efficient MAC protocol for wireless sensor networks , 2002, Proceedings.Twenty-First Annual Joint Conference of the IEEE Computer and Communications Societies.

[16]  Eman Shaaban,et al.  Mobility-aware MAC protocol for delay-sensitive wireless sensor networks , 2009, 2009 International Conference on Ultra Modern Telecommunications & Workshops.

[17]  Anders Lindgren,et al.  Probabilistic routing in intermittently connected networks , 2003, MOCO.

[18]  Shaharuddin Salleh,et al.  The use of Taguchi method to determine factors affecting the performance of destination sequence distance vector routing protocol in mobile ad hoc networks , 2008 .

[19]  Gregory J. Pottie,et al.  Wireless integrated network sensors , 2000, Commun. ACM.

[20]  Deborah Estrin,et al.  Directed diffusion: a scalable and robust communication paradigm for sensor networks , 2000, MobiCom '00.