A Mobility Aware and Low Latency Mac Protocol for Mobile Wireless Sensor Network with the Improvement of S_MAC

There exist a lot of medium access control (MAC) protocols for wireless sensor networks. However, they consider mainly energy efficiency rather than latency which is important in delay sensitive mobile sensor networks. Therefore, a new MAC protocol called MS-MAC is proposed suitable to both stationary and mobile sensor networks. MSMAC uses an adaptive frame structure improved for well known protocol S-MAC to overcome the performance problems caused by the packets latency in the mobile environment. The selection of monitor nodes and periodic scheduling of synchronization packets are used to predict the speed of mobile nodes, which can save the energy consumption and minimize latencies. Our studies show that under static scenarios, the MS-MAC behavior similar with MS-MAC. However, MS-MAC can increase the network throughput and reduce the latency significantly without more energy loss in comparison with S-MAC in mobile environment.

[1]  Lei Tang,et al.  EM-MAC: a dynamic multichannel energy-efficient MAC protocol for wireless sensor networks , 2011, MobiHoc '11.

[2]  Ren C. Luo,et al.  Mobile Sensor Node Deployment and Asynchronous Power Management for Wireless Sensor Networks , 2012, IEEE Transactions on Industrial Electronics.

[3]  Ingrid Moerman,et al.  A survey on wireless body area networks , 2011, Wirel. Networks.

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

[5]  Biswanath Mukherjee,et al.  Wireless sensor network survey , 2008, Comput. Networks.

[6]  Yacine Challal,et al.  Wireless sensor networks for rehabilitation applications: Challenges and opportunities , 2013, J. Netw. Comput. Appl..

[7]  Yunhao Liu,et al.  Iso-Map: Energy-Efficient Contour Mapping in Wireless Sensor Networks , 2010, IEEE Trans. Knowl. Data Eng..

[8]  Guangjie Han,et al.  A survey on coverage and connectivity issues in wireless sensor networks , 2012, J. Netw. Comput. Appl..

[9]  Mohamed F. Younis,et al.  Topology management techniques for tolerating node failures in wireless sensor networks: A survey , 2014, Comput. Networks.

[10]  Joel J. P. C. Rodrigues,et al.  Real-time data management on wireless sensor networks: A survey , 2012, J. Netw. Comput. Appl..

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

[12]  Lan-Ying Li,et al.  An Improved Algorithm of LEACH Routing Protocol in Wireless Sensor Networks , 2014, 2014 8th International Conference on Future Generation Communication and Networking.

[13]  Hussein T. Mouftah,et al.  Wireless Sensor Networks for Cost-Efficient Residential Energy Management in the Smart Grid , 2011, IEEE Transactions on Smart Grid.

[14]  Özlem Durmaz Incel,et al.  QoS-aware MAC protocols for wireless sensor networks: A survey , 2011, Comput. Networks.

[15]  Neeraj Kumar,et al.  A systematic review on clustering and routing techniques based upon LEACH protocol for wireless sensor networks , 2013, J. Netw. Comput. Appl..

[16]  Chen Zhao,et al.  Contact time in random walk and random waypoint: Dichotomy in tail distribution , 2011, Ad Hoc Networks.

[17]  Hermann de Meer,et al.  Dynamic key management in wireless sensor networks: A survey , 2013, J. Netw. Comput. Appl..

[18]  Song Jian-wei Research of Routing Protocol Based on Clustering and Directed Diffusion , 2010 .

[19]  Selcuk Okdem,et al.  Cluster based wireless sensor network routing using artificial bee colony algorithm , 2012, Wirel. Networks.

[20]  Waltenegus Dargie,et al.  A Survey on Mobility and Mobility-Aware MAC Protocols in Wireless Sensor Networks , 2013, IEEE Communications Surveys & Tutorials.