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In a wireless sensor network, the nodes closer to the sink node transmit more data, and consume more energy. This phenomenon lead to more serious network congestion and higher packet loss probability. These series of problems are known as “hot area” effect. Based on the structure of the clusters’ networks in GAF protocol, some researches are carried out on the problems of unfair delay and packet loss. In this paper, a new DMAC protocol-based MAC algorithm is proposed as a supplement to ST-MAC, which is called EDMAC. In this new algorithm, a control information transmission scheduling was added to improve ST-MAC’s data transmission mechanism and a method of emergency priority is provided to ST-MAC to decrease the waiting time of the emergency data within a cycling period.
DMAC, emergency, delay, data loss
This work was supported by the project of Real Estate Management System under No.AS214R002. We thank the anonymous reviewers whose comments helped improve the manuscript.
[1] Villas LA, Boukerche A, Ramos HS. (2013). DRINA: A lightweight and reliable routing approach for in-network aggregation in wireless sensor networks. IEEE Transactions on Computers 62(4): 676-689.
[2] Ren F, He T, Das SK. (2011). Traffic-aware dynamic routing to alleviate congestion in wireless sensor networks. IEEE Transactions on Parallel & Distributed Systems 22(9): 1585-1599. https://doi.org/10.1109/TPDS.2011.24
[3] Nethravathi NC, Ballal PA. (2015). Energy based-genetically derived secure cluster-based data aggregation in wireless sensor networks. Plos Neglected Tropical Diseases 121(13): 1093-1100. http://dx.doi.org/10.5120/21603-4714
[4] Joshi S, Jaiswal AK, Tyagi PK. (2013). A novel analysis of T Mac and S Mac protocol for wireless sensor networks using castalia. International Journal of Soft Computing & Engineering 2(6): 128-131.
[5] Wu SH, Chen MS, Chen CM. (2014). Fully adaptive power saving protocols for Ad Hoc networks using the hyper quorum system. IEEE/ACM Transactions on Networking 22(1): 1-15. http://dx.doi.org/10.1109/ICDCS.2008.88
[6] Carrano RC, Passos D, Magalhaes LCS. (2014). Survey and taxonomy of duty cycling mechanisms in wireless sensor networks. IEEE Communications Surveys & Tutorials 16(1): 181-194. https://doi.org/10.1109/SURV.2013.052213.00116
[7] Garcia-Saavedra A, Serrano P, Banchs A. (2012). Energy consumption anatomy of 802.11 devices and its implication on modeling and design. 8th ACM International Conference on Emerging Networking Experiments and Technologies, Nice, France, pp. 169-180. https://doi.org/10.1145/2413176.2413197
[8] Lu G, Krishnamachari B, Raghavendra CS. (2007). An adaptive energy-efficient and low-latency MAC for data gathering in wireless sensor networks. Wireless Communications & Mobile Computing 7(7): 863–875. https://doi.org/10.1109/IPDPS.2004.1303264
[9] Huang P, Xiao L, Soltani S, Mutka MW, Xi N. (2013). The evolution of MAC protocols in wireless sensor networks: A survey. IEEE Communications Surveys & Tutorials 15(1): 101-120. https://doi.org/10.1109/SURV.2012.040412.00105
[10] Singh P, Varma S. (2014). An improved TMAC protocol for wireless sensor networks. International Conference on Signal Propagation and Computer Technology, pp. 91-95. https://doi.org/10.1109/ICSPCT.2014.6884921
[11] Sunitha GP, Kumar SMD, Kumar BPV. (2015). A pre-emptive multiple queue based congestion control for different traffic classes in WSN. International Conference on Circuits, Communication, Bangalore, India, pp. 212-218. https://doi.org/10.1109/CIMCA.2014.7057793
[12] Söderman P, Grinnemo KJ, Hidell M, Sjödin P. (2015). Mind the SmartGap: A buffer management algorithm for delay tolerant wireless sensor networks, wireless sensor networks. Springer International Publishing 104-119. https://doi.org/10.1007/978-3-319-15582-1_7
[13] Zeng SG. (2012). Reliability and lifetime research in wireless sensor network. Ph.D. dissertation. East China University of Science and Technology, Shanghai, China.
[14] Polastre J, Hill J, Culler D. (2004). Versatile low power media access for wireless sensor networks. International Conference on Embedded Networked Sensor Systems. Baltimore, USA, pp. 95-107. https://doi.org/10.1145/1031495.1031508
[15] Sun Y, Gurewitz O, Johnson DB. (2008). RI-MAC: a receiver-initiated asynchronous duty cycle MAC protocol for dynamic traffic loads in wireless sensor networks. International Conference on Embedded Networked Sensor Systems, Raleigh, USA, pp. 1-14. https://doi.org/10.1145/1460412.1460414
[16] Tang L, Sun Y, Gurewitz O, Johnson DB. (2011). PW-MAC: An energy-efficient predictive-wakeup MAC protocol for wireless sensor networks. INFOCOM: 1305-1313. https://doi.org/10.1109/INFCOM.2011.5934913
[17] Li YX, Shi HS, Pang BM. (2012). An energy-efficient MAC protocol for wireless sensor network. Lecture Notes in Electrical Engineering 143(9): 163-170. http://dx.doi.org/10.1109/ICACTE.2010.5579102
[18] Fei ZT, Lin SL, Xiao FW, Xia ZW. (2017). An algorithm of fair delay in MAC layer. Journal of Logistical Engineering University 33(1): 85-89.