A Proposed Adaptive Mobility of MAC Protocol Using Sleep and Wake Cycling in Wireless Sensor Network

Jagdish Y. kapadnis, Pawan Patidar

Abstract


In wireless sensor networks have imposed significant challenges for the medium access control (MAC) protocol design to provide reliable communication with good data rates and low energy consumption using Sleep wake cycle nodes. Most of the MAC protocols proposed for wireless sensor networks assume static sensor nodes but nodes know their locations, and they sleep-wake cycle, waking up periodically but not synchronously, which usually causes up gradation  in network performance in scenarios involving mobile sensors. when a node has a packet to forward to the sink, there is a trade-off between how long this node waits for a suitable neighbor to wake up and the progress the packet makes towards the sink once it is forwarded to this neighbor In this paper, we introduce a mobility aware and energy efficient medium access protocol with sleep and wake up cycle (shortly abbreviated as MMAC-SW) for mobile wireless sensor   networks. Our MMAC-SW is based on a hybrid scheme of TDMA and CSMA that informs sensor nodes when to wakeup or when to go to sleep to save energy. Through computer simulations, we evaluate the performance of the MMAC-SW and compare it against the MMAC protocol. Simulation results will show that MMAC-SW outperforms MMAC in terms of energy consumption, packet delivery ratio and average packet delay.


Keywords


energy efficient, MAC protocol, mobility handling, sleep and wake cycling.

References


Bashir Yahya, Jalel Ben-Othman, ”An Adaptive Mobility Aware and Energy Efficient Mac Protocol for wireless Sensor Networks”, 978-1-4244-4671-1/09/$25.00 ©2009 IEEE

J. Kim, X. Lin, and N. Shroff, “Optimal Anycast Technique for Delay-Sensitive Energy-Constrained Asynchronous Sensor Networks,” in INFOCOM 2009. The 28th Conference on Computer Communications. IEEE, April 2009, pp. 612–620.

Bergbreiter, S. and Pister, K.SJ, "CotsBots: An Off-the-Shelf Platform for Distributed Robotics," In the Proceeding of the IEEE International Conference on Intelligent Robots and Systems, Las Vegas, NV,2003.

Dantu K., Rahimi M.H., Shah 1-1., Babel S., Dhariwal A., and Sukhatme G.S., "Robornote: Enabling mobility in sensor networks", In ACM Int. Conf. on Information Processing in Sensor Networks - SPOTS, 2005.

Allred 1, Hasan A.B., Panichsakul S., Pisano B., Gray 1'., Huang J-I-I., I-Ian R., Lawrence D., and Mohseni K., "SensorFlock An Airborne Wireless Sensor Network of Micro-Air Vehicles", In ACM Int. Conf. on Embedded Networked Sensor Systems, 2007.

NittelS, TrigoniN, Ferentinos K., Neville F., Nural A., and Pettigrew N., "A drift-tolerant model for data management in ocean sensor networks", In ACM Workshop on Data Engineering for Wireless and Mobile Access, 2007.

Hull B., Bychkovsky V., Chen K., Goraczko M., Miu A., Shih E., Zhang Y., Balakrishnan H., and Madden S., "CarTel: A Distributed Mobile Sensor Computing System", In ACM Int. Conf. on Embedded Networked Sensor Systems, 2006.

Eriksson, Girod, L., Hull, B., Newton, R., Madden, S. and Balakrishnan H., "The Pothole Patrol: Using a Mobile Sensor Network for Road Surface Monitoring", In ACM Int. Conf. on Mobile Systems, Applications And Services 2008.

D. Zeinalipour-Yazti, H. Papadakis, C. Georgiou, M.D. Dikaiakos, "Mobile Sensor Network Data Management", Parallel Processing Letters Journal (PPL), September 2008.

Lingxuan Hu and David Evans, "Localization for Mobile Sensor Networks", Tenth Annual International Conference on Mobile Computing and Networking (ACM Mobi Com 2004). 26 September – 1 October 2004.

M. Zhang, X. Du, and K. Nygard, "Improving Coverage Performance in Sensor Networks by Using Mobile Sensors," Proc. IEEE Military Comm. Conf. (MILCOM '05), pp. 3335-3341,2005.

Bashir Yahya, Jalel Ben-Othman, "Energy Efficient MAC Protocols in Wireless Sensor Networks", will appeared in Wiley series on Wireless Communications and Mobile Computing, 2009.

Bashir Yahya, Jalel Ben-Othman,"A scalable and energy-efficient hybrid-based MAC protocol for wireless sensor networks", in the Proceedings of the 3rd ACM workshop on Performance monitoring and measurement of heterogeneous wireless an wired networks (PM2HW2N 2008), 67-71

H. Takagi and L. Kleinrock, “Optimal Transmission Ranges for Randomly Distributed Packet Radio Terminals,” Communications, IEEE Transactions on. [legacy, pre - 1988], vol. 32, no. 3, pp. 246–257, 1984.

T.C. Hou and V. Li, “Transmission Range Control in Multihop Packet Radio Networks,” Communications, IEEE Transactions, vol. 34, no. 1, pp. 38–44,1986.

B. Karp and H. T. Kung, “GPSR: Greedy Perimeter Stateless Routing for Wireless Networks,” in MobiCom ’00: Proceedings of the 6th annual international conference on Mobile computing and networking. New York, NY, USA: ACM Press, 2000, pp. 243–254.

F. Kuhn, R. Wattenhofer, and A. Zollinger, “An Algorithmic Approach to Geographic Routing in Ad Hoc and Sensor Networks,” IEEE/ACM Trans. Netw., vol. 16, no. 1, pp. 51–62, 2008.

S. Dulman, M. Rossi, P. Havinga, and M. Zorzi, “On the Hop Count Statistics for Randomly Deployed Wireless Sensor Networks,” Int. J. Sen. Netw.,vol. 1, no. 1/2, pp. 89–102, 2006.


Full Text: PDF

Refbacks

  • There are currently no refbacks.




 


All Rights Reserved © 2012 IJARCSEE


Creative Commons License
This work is licensed under a Creative Commons Attribution 3.0 Unported License.