Impact of radio propagation in buildings on WSN's lifetime

Nowadays, Wireless Sensor Networks (WSN) are a commonly used technology in Smart Buildings applications. Generally, WSN suffer from finite energy resources (limited lifetime), and limited network coverage (due to transmission range). The most consistent works on energy consumption and radio transmission modeling for WSN, are not taking into account realistic constraints. However, radio propagation is affected by a lot of kinds of obstacles (walls, windows, doors...) with different effects on the radio propagations. For this, a proper and more realistic radio propagation model is essential to optimize energy consumption and ensure network reliability (best network coverage). In this paper, we investigate the impact of the radio propagation modeling on the network energy consumption with and without obstacles (walls) consideration. This work leads to evaluate a proper radio behavior model with the objective to use it in an optimization process.

[1]  Farouk Kamoun,et al.  Association criteria to optimize energy consumption and latency for IEEE 802.15.4/ZigBee wireless sensor networks , 2011, 2011 4th Joint IFIP Wireless and Mobile Networking Conference (WMNC 2011).

[2]  J. Seybold.  Introduction to RF Propagation , 2005 .

[3]  John S. Seybold,et al.  Introduction to RF Propagation: Seybold/Introduction to RF Propagation , 2005 .

[4]  Yan Gao,et al.  Modeling of Node Energy Consumption for Wireless Sensor Networks , 2011, Wirel. Sens. Netw..

[5]  Maha Ben Zid.  Emploi de techniques de traitement de signal MIMO pour des applications dédiées réseaux de capteurs sans fil , 2012 .

[6]  Lutz H.-J. Lampe,et al.  Lifetime Maximization in UWB Sensor Networks for Event Detection , 2011, IEEE Transactions on Signal Processing.

[7]  Theofilos Chrysikos,et al.  Wireless channel characterization for a home indoor propagation topology at 2.4 GHz , 2011, 2011 Wireless Telecommunications Symposium (WTS).

[8]  Gang Zhou,et al.  Impact of radio irregularity on wireless sensor networks , 2004, MobiSys '04.

[9]  D. K. Ghosh,et al.  Wireless sensor network lifetime optimization , 2011, ARTCom 2011.

[10]  Yen Kheng Tan,et al.  Energy consumption analysis of ZigBee-based energy harvesting wireless sensor networks , 2012, 2012 IEEE International Conference on Communication Systems (ICCS).

[11]  Henry Muccini,et al.  Path Loss Effect on Energy Consumption in a WSN , 2012, 2012 UKSim 14th International Conference on Computer Modelling and Simulation.

[12]  R.B. Ahmad,et al.  Review and Modeling of Vegetation Propagation Model for Wireless Sensor Networks Using Omnet++ , 2010, 2010 Second International Conference on Network Applications, Protocols and Services.

[13]  Hideki Ochiai,et al.  Energy minimization of wireless sensor networks based on modulation and coding optimization under finite frame length constraint , 2012, MILCOM 2012 - 2012 IEEE Military Communications Conference.

[14]  A. I. Sulaiman,et al.  A modified multi-wall wave propagation model for concrete based building structure , 2012, 2012 International Conference on Computer and Communication Engineering (ICCCE).

[15]  Fatos Xhafa,et al.  A Simulation System for Multi-mobile Sinks in Wireless Sensor Networks Considering TwoRayGround and Shadowing Propagation Models , 2011, 2011 International Conference on Broadband and Wireless Computing, Communication and Applications.

[16]  Roger Pierre Fabris Hoefel,et al.  IEEE 802.11 WLANs: A comparison on indoor coverage models , 2010, CCECE 2010.

[17]  Lei Zhao,et al.  Energy Efficient Design of WSN Based on an Accurate Power Consumption Model , 2007, 2007 International Conference on Wireless Communications, Networking and Mobile Computing.

[18]  Qin Wang,et al.  A Realistic Power Consumption Model for Wireless Sensor Network Devices , 2006, 2006 3rd Annual IEEE Communications Society on Sensor and Ad Hoc Communications and Networks.

[19]  Weifa Liang,et al.  Placing Optimal Number of Sinks in Sensor Networks for Network Lifetime Maximization , 2011, 2011 IEEE International Conference on Communications (ICC).

[20]  David Baudry,et al.  WSN's modeling for a smart building application , 2014, 2014 IEEE International Energy Conference (ENERGYCON).

[21]  A. J. Motley,et al.  Radio coverage in buildings , 1990 .

[22]  Hichem Snoussi,et al.  Multi-objective optimization in wireless sensors networks , 2011, ICM 2011 Proceeding.

[23]  I. Forkel,et al.  A multi-wall-and-floor model for indoor radio propagation , 2001, IEEE VTS 53rd Vehicular Technology Conference, Spring 2001. Proceedings (Cat. No.01CH37202).

[24]  R. Bansal,et al.  Antenna theory , 1983, IEEE Antennas and Propagation Society Newsletter.