An Energy-Efficient MAC Protocol Employing Dynamic Threshold for Wireless Sensor Networks

Energy efficiency is a critical issue for sensor network since the network lifetime depends on efficient management of the energy resource of sensor nodes. Particularly, designing energy efficient MAC protocol has a significant influence on the performance of wireless sensor network with regards to the energy. The existing MAC protocols developed for sensor network try to avoid energy waste during idle listening time by controlling the duty cycle of the transmission period. Since the traffic conditions are diverse, they may not always display improvements in energy consumption. In this paper we propose a new energy efficient MAC protocol called dynamic threshold MAC (DT-MAC), which employs a dynamic threshold for the buffer of each sensor node to maximize the energy efficiency regardless of specific network traffic condition. Here the packets are stored in the buffer, and then transmitted when the number of packets in the buffer exceeds the threshold dynamically decided according to the number of hops of the node from the source in the path of packet forwarding. The simulation results using OMNnet++ show that DT-MAC enables significant improvement in energy consumption compared to the existing MAC protocols. The proposed DT-MAC protocol also reduces the number of transmissions of control packets.

[1]  Koen Langendoen,et al.  Comparing Energy-Saving MAC Protocols for Wireless Sensor Networks , 2005, Mob. Networks Appl..

[2]  Cem Ersoy,et al.  MAC protocols for wireless sensor networks: a survey , 2006, IEEE Communications Magazine.

[3]  Hee Yong Youn,et al.  Mobile RFID Tag Detection Influence Factors and Prediction of Tag Detectability , 2009, IEEE Sensors Journal.

[4]  M. K. Jha,et al.  An energy-efficient multi-layer MAC (ML-MAC) protocol for wireless sensor networks , 2011 .

[5]  Hee Yong Youn,et al.  Intelligent RFID tag detection using support vector machine , 2009, IEEE Transactions on Wireless Communications.

[6]  Y. Z. Zhao,et al.  An energy-efficient and low-latency MAC protocol with Adaptive Scheduling for multi-hop wireless sensor networks , 2010, Comput. Commun..

[7]  A. Varga,et al.  THE OMNET++ DISCRETE EVENT SIMULATION SYSTEM , 2003 .

[8]  Nael B. Abu-Ghazaleh,et al.  Infrastructure tradeoffs for sensor networks , 2002, WSNA '02.

[9]  Nathan Ickes,et al.  Energy-centric enabling tecumologies for wireless sensor networks , 2002, IEEE Wireless Communications.

[10]  Celal Ceken.  An energy efficient and delay sensitive centralized MAC protocol for wireless sensor networks , 2008, Comput. Stand. Interfaces.

[11]  Trilok Chand Aseri,et al.  Prolonging Network Lifetime and Data Accumulation in Heterogeneous Sensor Networks , 2010, Int. Arab J. Inf. Technol..

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

[13]  Anantha P. Chandrakasan,et al.  An application-specific protocol architecture for wireless microsensor networks , 2002, IEEE Trans. Wirel. Commun..

[14]  M. Lakshmanan,et al.  AN ADAPTIVE ENERGY EFFICIENT MAC PROTOCOL FOR WIRELESS SENSOR NETWORKS , 2009 .

[15]  Scott F. Midkiff,et al.  Wireless Sensor Network Radio Power Management and Simulation Models , 2010 .

[16]  Fatiha Bendali,et al.  Heuristics for Designing Energy-efficient Wireless Sensor Network Topologies , 2009, J. Networks.

[17]  Jae-Won Choi,et al.  A Cluster Head Selection Algorithm Adopting Sensing-Awareness and Sensor Density for Wireless Sensor Networks , 2007, IEICE Trans. Commun..

[18]  John Anderson,et al.  Wireless sensor networks for habitat monitoring , 2002, WSNA '02.

[19]  Jie Wu,et al.  An energy-efficient unequal clustering mechanism for wireless sensor networks , 2005, IEEE International Conference on Mobile Adhoc and Sensor Systems Conference, 2005..

[20]  Ilker Demirkol,et al.  ADV-MAC: Advertisement-based MAC Protocol for wireless sensor networks , 2009, MobiQuitous 2009.

[21]  Amiya Nayak,et al.  Localized routing with guaranteed delivery and a realistic physical layer in wireless sensor networks , 2006, Comput. Commun..

[22]  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.

[23]  Ossama Younis,et al.  HEED: a hybrid, energy-efficient, distributed clustering approach for ad hoc sensor networks , 2004, IEEE Transactions on Mobile Computing.

[24]  Hee Yong Youn,et al.  PEACH: Proxy-Enable Adaptive Clustering Hierarchy for Wireless Sensor Networks , 2005, ICWN.

[25]  Hee Yong Youn,et al.  An Energy Efficient Clustering Scheme for Self-Organizing Distributed Wireless Sensor Networks , 2010, 2010 10th IEEE International Conference on Computer and Information Technology.

[26]  Ian F. Akyildiz,et al.  Wireless sensor networks: a survey , 2002, Comput. Networks.

[27]  Yu Hen Hu,et al.  Detection, classification, and tracking of targets , 2002, IEEE Signal Process. Mag..

[28]  Suresh Singh,et al.  PAMAS—power aware multi-access protocol with signalling for ad hoc networks , 1998, CCRV.

[29]  Sukumar Nandi,et al.  Power Efficient and Low Latency MAC for Wireless Sensor Networks , 2006, 2006 3rd Annual IEEE Communications Society on Sensor and Ad Hoc Communications and Networks.