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Abstract

Impulse Radio Ultra Wideband is a new efficient short range wireless communication technology for wireless sensor network applications. Its impulsional nature makes it robust to multipath fading, as the short duration of the pulses leads most multipath components to arrive isolated with short energy pulses instead of a carrier signal. For a good exploitation of this new technology, we need a suitable Medium Access Control protocol in the MAC layer. WideMac was the first MAC protocol trying to implement adaptive low power consumption to IR-UWB technology. The Backoff algorithm used by this protocol is Modified Binary Exponent Backoff (MBEB). The unfair access to the transmission channel represents the major problem of this algorithm. In this paper, we introduce a new Backoff algorithm based on Fuzzy Logic called FLB (Fuzzy Logic Backoff) to improve the Packet Delivery Ratio (PDR) and decrease the number of dropped packets from the nodes’ buffer. To analyze and evaluate the performance of the proposed backoff algorithm, a simulation of a sink based architecture network with various nodes’ number has been performed.

Keywords

WSN IR-UWB WideMac fuzzy logic packets delivery packets dropped power consumption

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References

P.A.

Adsul and

K.S.

Bodhe, Performance comparison of BPSK, PPM and PPV modulation based IR-UWB receiver using wide band LNA, International Journal of Computer Technology and Applications 3(4) (2012), 1532–1537.

I.F.

Akyildiz,

Melodia and

K.R.

Chowdhury, A survey on wireless multimedia sensor networks, International Journal of Computer and Telecommunications Networking 51(4) (2007), 921–960.

Baronti,

Pillai,

C.V.W.

Chook,

Chessa,

Gotta and

Y.F.

Hu, Wireless sensor networks: A survey on the state of the art and the 802.15.4 and ZigBee standards, Journal of Computer communications (Elsevier) 10(7) (2007), 1655–1695.

Darif,

Saadane and

Aboutajdine, Performance evaluation of WideMac compared to ALOHA in term of energy consumption for IR-UWB based WSN, Journal of Emerging Technologies in Web Intelligence 6(1) (2014), 54–58.

Franceschinis,

Gioanola,

Messere,

Tomasi,

M.A.

Spirito and

Civera, Wireless sensor networks for intelligent transportation systems, in: The 69th IEEE Conference on Vehicular Technology, 2009, pp. 1–5.

S.S.

Ghassemzadeh,

Jana,

W.C.

Rice,

Turin and

Tarokh, Measurement and modeling of an ultra-wide bandwidth indoor channel, IEEE Transactions on Communications 52(10) (2004), 1786–1796.

Golmie,

Cypher and

Rebala, Performance analysis of low rate wireless technologies for medical applications, International Journal for the Computer and Telecommunications Industry 28(10) (2005), 1266–1275.

Ibrahim and

Seong-in, A fuzzy system for evaluating students’ learning achievement, Expert Systems with Applications an International Journal 36(3) (2009), 6236–6243.

W.S.

Jang and

W.M.

Healy, Assessment of performance metrics for use of WSNs in buildings, in: International Symposium on Automation and Robotic in Construction (ISARC), 2009, pp. 570–575.

10.

Kathuria,

Duhan and

C.K.

Nagpal, Application of fuzzy logic inWeb mining domain: A survey, International Journal of Advanced Research in IT and Engineering 1 (2012), 1–16.

11.

Kpke,

Swigulski,

Wessel,

Willkomm,

P.T.K.

Haneveld,

T.E.V.

Parker,

O.W.

Visser,

H.S.

Lichte and

Valentin, Simulating wireless and mobile networks in OMNeT++ the MiXiM vision, in: Proc. Intl. Workshop on OMNeT++ (Co-Located with SIMUTools ’08), 2008.

12.

F.G.

Masoumi and

Rahiminasab, Improvement of hybrid ALOHA with simultaneous data transmission for 5 users, European Journal of Applied Engineering and Scientific Research 2(3) (2013), 33–37.

13.

Piguet,

J.-D.

Decotignie and

Rousselot, A MAC protocol for micro flying robots coordination, in: Proc. 9th International Workshop on Real-Time Networks (RTN’2010), 2010, pp. 1–6.

14.

Rousselot,

El-Hoiydi and

J.-D.

Decotignie, WideMac: A low power and routing friendly MAC protocol for ultra wideband sensor networks, IEEE International Conference on Ultra-Wideband 3 (2008), 105–108.

15.

Suh,

Z.H.

Mir and

Y.-B.

Ko, Design and implementation of enhanced IEEE 802.15.4 for supporting multimedia service in wireless sensor networks, International Journal of Computer and Telecommunications Networking 52(13) (2008), 2568–2581.

16.

T.-W.

Sung,

T.-T.

Wu,

C.-S.

Yang and

Y.-M.

Huang, Reliable data broadcast for zigbee wireless sensor networks, International Journal on Smart Sensing and Intelligent 3(3) (2010), 504–520.

17.

Xingfa,

Zhi and

Youxian, Wireless sensor networks for industrial applications, in: The World Congress on Intelligent Control and Automation, 2004, pp. 3636–3640.

18.

Zhoul,

Chen,

Liu and

Yang, Applications of zigbee wireless technology to measurement system in grain storage, in: Computer and Computing Technologies in Agriculture, 2009, pp. 2021–2029.

A new backoff algorithm for a low power consumption MAC protocol in IR-UWB based WSN

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