Wireless Sensor Networks: Performance Analysis in Indoor Scenarios

We evaluate the performance of realistic wireless sensor networks in indoor scenarios. Most of the considered networks are formed by nodes using the Zigbee communication protocol. For comparison, we also analyze networks based on the proprietary standard Z-Wave. Two main groups of network scenarios are proposed: (i) scenarios with direct transmissions between the remote nodes and the network coordinator, and (ii) scenarios with routers, which relay the packets between the remote nodes and the coordinator. The sensor networks of interest are evaluated considering different performance metrics. In particular, we show how the received signal strength indication (RSSI) behaves in the considered scenarios. Then, the network behavior is characterized in terms of end-to-end delay and throughput. In order to confirm the experiments, analytical and simulation results are also derived.

[1]  Jason Liu,et al.  Experimental evaluation of wireless simulation assumptions , 2004, MSWiM '04.

[2]  N. Golmie,et al.  Performance evaluation of low rate WPANs for medical applications , 2004, IEEE MILCOM 2004. Military Communications Conference, 2004..

[3]  Klaus Kabitzsch,et al.  A new beacon order adaptation algorithm for IEEE 802.15.4 networks , 2005, Proceeedings of the Second European Workshop on Wireless Sensor Networks, 2005..

[4]  A. Sikora,et al.  Coexistence of IEEE802.15.4 with other Systems in the 2.4 GHz-ISM-Band , 2005, 2005 IEEE Instrumentationand Measurement Technology Conference Proceedings.

[5]  D. Lewis,et al.  Monitoring high-seas fisheries with long-range passive acoustic sensors , 1996, OCEANS 96 MTS/IEEE Conference Proceedings. The Coastal Ocean - Prospects for the 21st Century.

[6]  Ian F. Akyildiz,et al.  A survey on wireless mesh networks , 2005, IEEE Communications Magazine.

[7]  S. Shankar Sastry,et al.  Distributed Environmental Monitoring Using Random Sensor Networks , 2003, IPSN.

[8]  Andreas Terzis,et al.  Sensor networks for landslide detection , 2005, SenSys '05.

[9]  Mario Gerla,et al.  Measuring effective capacity of IEEE 802.15.4 beaconless mode , 2006, IEEE Wireless Communications and Networking Conference, 2006. WCNC 2006..

[10]  Chee-Yee Chong,et al.  Sensor networks: evolution, opportunities, and challenges , 2003, Proc. IEEE.

[11]  Gianmarco Romano,et al.  Performance evaluation in a large environment for the AWACS system , 1998, ICUPC '98. IEEE 1998 International Conference on Universal Personal Communications. Conference Proceedings (Cat. No.98TH8384).

[12]  E. Jovanov,et al.  Time synchronization for ZigBee networks , 2005, Proceedings of the Thirty-Seventh Southeastern Symposium on System Theory, 2005. SSST '05..

[13]  Myung J. Lee,et al.  Will IEEE 802.15.4 make ubiquitous networking a reality?: a discussion on a potential low power, low bit rate standard , 2004, IEEE Communications Magazine.

[14]  Z. Bradac,et al.  THE ZIGBEE EXPERIENCE , 2006 .

[15]  A. M. Abdullah,et al.  Wireless lan medium access control (mac) and physical layer (phy) specifications , 1997 .

[16]  Ozan K. Tonguz,et al.  Ad Hoc Wireless Networks , 2005 .

[17]  Carl Eklund,et al.  National Institute for Standards and Technology , 2009, Encyclopedia of Biometrics.

[18]  Isaac Balberg.  Continuum Percolation , 2009, Encyclopedia of Complexity and Systems Science.

[19]  Charles E. Perkins,et al.  Ad-hoc on-demand distance vector routing , 1999, Proceedings WMCSA'99. Second IEEE Workshop on Mobile Computing Systems and Applications.

[20]  Gianluigi Ferrari,et al.  Ad Hoc Wireless Networks: A Communication-Theoretic Perspective , 2006 .

[21]  Jin-Shyan Lee,et al.  An experiment on performance study of IEEE 802.15.4 wireless networks , 2005, 2005 IEEE Conference on Emerging Technologies and Factory Automation.

[22]  L. Kleinrock,et al.  Packet Switching in Radio Channels: Part I - Carrier Sense Multiple-Access Modes and Their Throughput-Delay Characteristics , 1975, IEEE Transactions on Communications.

[23]  Edgar H. Callaway,et al.  Home networking with IEEE 802.15.4: a developing standard for low-rate wireless personal area networks , 2002, IEEE Commun. Mag..

[24]  Thomas G. Robertazzi,et al.  Critical connectivity phenomena in multihop radio models , 1989, IEEE Trans. Commun..