An Overview of Own Tracking Wireless Sensors with GSM-GPS Features
DOI:
https://doi.org/10.46604/aiti.2021.4793Keywords:
WS, GPS/GSM/GPRS features, portable devices, operating lifetime/energy consumptionAbstract
Wireless Sensors (WS) mobility and pause time have a major impact directly influencing the energy consumption. Lifetime of a WS Network (WSN) depends directly on the energy consumption, thus, the hardware and software components must be optimized for energy management. This study aims to combine a compact hardware architecture with a smart energy management efficiency in order to increase ratio Lifetime/Energy Consumption, to improve the operating time on a portable tracking system with GPS/GSM/GPRS features and own power. In this paper we present the evolution of own WS tracking architecture with GPS/GSM/GPRS features, basic criterion being the lifetime combined with low power consumption. Concern was focused on hardware and software areas: Large number of physical components led to reconsideration of hardware architecture, while for software, we focused on algorithms able to reduce the number of bits in transmitted data packets, which help to reduce energy consumption. The results and conclusions show that the goal was achieved.
References
J. Wang, J. Cho, S. Lee, K. C. Chen, and Y. K. Lee, “Hop-Based Energy Aware Routing Algorithm for Wireless Sensor Networks,” IEICE Transactions on Communication 2010, vol. E93.B, no. 2, pp. 305-316, 2010.
W. Heinzelman, “Application-Specific Protocol Architectures for Wireless Networks,” Ph.D. Thesis, Massachusetts Institute of Technology: Cambridge, MA, USA, pp. 84-86, 2000.
J. Wang, J. U. Kim, S. Lei, Y. Niu, and L. Sungyoung, “A Distance-Based Energy Aware Routing Algorithm for Wireless Sensor Networks,” Sensors, vol. 10, pp. 9493-9511, 2010.
O. Younis and S. Fahmy, “HEED: A Hybrid, Energy-Efficient, Distributed Clustering Approach for Ad Hoc Sensor Networks,” IEEE Transactions on Mobile Computing, vol. 3, no. 4, pp. 366-379, October-December 2004, doi:10.1109/TMC.2004.41.
C. H. Yassin and M. C. Rosu, “Energy-Saving Strategies in Monitoring for Wireless Sensor Networks,” The 21th IEEE International Symposium for Design and Technology in Electronic Packaging (SIITME 2015), Brasov, Romania October 2015.
S. Murugananham and P. R. Mukesh, “Real Time Web-Based Vehicle Tracking Using GPS,” World Academy of Science, Engineering and Technology, vol. 61, pp. 91-99, 2010.
N. Chadil, A. Russameesawang, and P. Keeratiwintakorn, “Real-Time Tracking Management System Using GPS, GPRS and Google Earth,” International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology, Krabi, 2008, pp. 393-396.
S. M. Kale and A. Kumar, “Location Tracking and Data Compression for Accurate Energy Efficient Localization Using Gsm System,” International Journal of Innovative Research in Science, Engineering and Technology, vol. 3, no. 3, pp. 10163-10167, March 2014.
M. A. Labrador and P. M. Wightman, “Topology Control in Wireless Sensor Networks; with a Companion Simulation Tool for Teaching and Research,” Springer Science and Business Media B. V., 2009.
F. Ingelrest, D. Simplot-Ryl, and I. Stojmenovic, “Optimal Transmission Radius for Energy Efficient Broadcasting Protocols in Ad Hoc Networks,” IEEE Transactions on Parallel and Distributed Systems, vol. 17, no. 6, pp. 536-547, June 2006.
R. Zhang and M. A. Labrador, “Energy-Aware Topology Control in Heterogeneous Wireless Multihop Networks,” Proceedings 2nd International Symposium on Wireless Pervasive Computing, Puerto Rico, 2007.
G. Anastasi, M. Conti, M. Di Francesco, and A. Passarella, “Energy Conservation in Wireless Sensor Networks: A Survey,” Ad Hoc Networks, vol. 7, no. 3, pp. 537-568, 2009.
R. Willett, A. Martin, and R. Nowak, “Backcasting: Adaptive Sampling for Sensor Networks,” Third International Symposium on Information Processing in Sensor Networks, IPSN, Berkeley, CA, USA, 2004, pp. 124-133.
A. D. Marbini and L. E. Sacks, “Adaptive Sampling Mechanisms in Sensor Networks,” Proceedings LCS, 2003.
A. Jain and E. Y. Chang, “Adaptive Sampling for Sensor Networks,” DMSN '04 Proceedings of the 1st International Workshop on Data Management for Sensor Networks: In Conjunction with VLDB 2004, pp. 10-16, 2004.
S. Goel and T. Imielinski, “Prediction-Based Monitoring in Sensor Networks: Taking Lessons from MPEG,” ACM SIGCOMM Computer Communication Review, vol. 31, no. 5, pp. 82-98, 2001.
B. Gedik, L. Liu, and P. S. Yu, “ASAP: An Adaptive Sampling Approach to Data Collection in Sensor Networks,” IEEE Transactions on Parallel and Distributed Systems, vol. 18, no. 12, pp. 1766-1783.
S. Goel, A. Passarella, and T. Imielinski, “Using Buddies to Live Longer in a Boring World,” Fourth Annual IEEE International Conference on Pervasive Computing and Communications Workshops, (PERCOMW'06), Pisa, 2006.
N. Kimura and S. Latifi, “A Survey on Data Compression in Wireless Sensor Networks,” International Conference on Information Technology, Coding and Computing (ITCC'05), 2005, vol. 2, pp. 8-13.
W. Heinzelman, A. Chandrakasan, and H. Balakrishnan, “Energy-Efficient Communication Protocol for Wireless Microsensor Networks,” Proceedings of the 33rd Annual Hawaii International Conference System Sciences, Maui, HI, USA, January 2000, vol. 2, pp. 1-10.
W. B. Heinzelman, A. P. Chandrakasan, and H. Balakrishnan, “An Application-Specific Protocol Architecture for Wireless Microsensor Networks,” IEEE Transactions on Wireless Communications, vol. 1, no. 4, pp. 660-670, October 2002.
K. Akkaya and M. Younis, “A Survey on Routing Protocols for Wireless Sensor Networks,” Ad Hoc Networks, vol. 3, no. 3, pp. 325-349, May 2005.
W. Zhang and G. Cao, “DCTC: Dynamic Convoy Tree-Based Collaboration for Target Tracking in Sensor Networks,” IEEE Transactions on Wireless Communications, vol. 3, no. 5, pp. 1689-1701, September 2004.
W. Zhang and G. Cao, “Optimizing Tree Reconfiguration for Mobile Target Tracking in Sensor Networks,” IEEE INFOCOM, Hong Kong, 2004, vol. 4, pp. 2434-2445.
A. Goel and E. Deborah, “Simultaneous Optimization for Concave Costs: Single Sink Aggregation or Single Source Buy-at-Bulk,” Algorithmica, vol. 43, pp. 5-15, 2003.
R. Cristescu, B. Beferull-Lozano, and M. Vetterli, “On Network Correlated Data Gathering,” IEEE INFOCOM 200, Hong Kong, 2004, vol. 4, pp. 2571-2582.
Y. Zhu, K. Sundaresan, and R. Sivakumar, “Practical Limits on Achievable Energy Improvements and Useable Delay Tolerance in Correlation Aware Data Gathering in Wireless Sensor Networks,” Second Conference IEEE SECON, Santa Clara, CA, USA, 2005, pp. 328-339,.
K. W. Fan, S. Liu, and P. Sinha, “On the Potential of Structure-Free Data Aggregation in Sensor Networks,” Proceedings 25th Conference INFOCOM, Barcelona, April 2006, pp. 1-12.
K. W. Fan, S. Liu, and P. Sinha, “Scalable Data Aggregation for Dynamic Events in Sensor Networks,” Proceedings of the 4th International conference on Embedded networked sensor systems (SenSys'06), Boulder, CO, USA, 2006, pp. 181-194.
S. Mahfoudh and P. Minet, “An Energy Efficient Routing Based on OLSR in Wireless ad Hoc and Sensor Networks,” 22nd International Conference on Advanced Information Networking and Applications -Workshops, Okinawa, 2008, pp. 1253-1259.
http://tools.ietf.org/html/rfc6206
G. Pei, M. Gerla, and T. W. Chen, “Fisheye State Routing: A Routing Scheme for Ad Hoc Wireless Networks,” IEEE International Conference on Communications ICC Global Convergence through Communications, New Orleans, LA, USA, 2000, vol. 1, pp. 70-74.
M. van Der Schaar, “Cross-Layer Wireless Multimedia Transmission: Challenges, Principles, and New Paradigms,” IEEE Wireless Communications, vol. 12, no. 4, pp. 50-58, 2005.
M. Garey and D. Johnson, Computers and Intractability: A Guide to the Theory of NP Completeness. W. H. Freeman & Co. New York, NY, USA, 1990.
J. Wu and H. Li, “On Calculating Connected Dominating Set for Efficient Routing in Ad Hoc Wireless Networks,” Proceedings the 3rd International Workshop on Discrete Algorithms and Methods for Mobile Computing and Communications DIALM, 1999, pp. 7-14.
F. Dai and J. Wu, “An Extended Localized Algorithm for Connected Dominating Set Formation in Ad Hoc Wireless Networks,” IEEE Transactions on Parallel and Distributed Systems, vol. 15, no. 10, pp. 908-920, 2004.
F. Ingelrest, D. Simplot-Ryl, and I. Stojmenovic, “Smaller Connected Dominating Sets in Ad Hoc and Sensor Networks Based on Coverage by Two-Hop Neighbors,” 2nd International Conference on Communication System Software and Middleware, Bangalore, India, 2007, pp. 1-8.
K. Alzoubi, P. J. Wan, and O. Fieder, “Distributed Heuristics for Connected Dominating Sets in Wireless Ad Hoc Networks,” Journal of Communications and Networks, vol. 4, no. 1, pp. 22-29, 2002.
B. Han, H. H. Fu, L. Li, and W. Jia, “Efficient Construction of Connected Dominating Set in Wireless Ad Hoc Networks,” IEEE International Conference MASS 2004, (IEEE Cat. No.04EX975), pp. 570-572, Fort Lauderdale, FL, USA, 2004.
E. O. Blass, J. Horneber, and M. Zitterbart, “Analyzing Data Prediction in Wireless Sensor Networks,” IEEE Vehicular Technology Conference, 2008, pp. 86-87.
K. Zeng, W. Lou, J. Yang, and D. R. I. Brown, “On Geographic Collaborative Forwarding in Wireless Ad Hoc and Sensor Networks,” International Conference on Wireless Algorithms, Systems and Applications (WASA2007), 2007, pp. 11-18.
L. Jun and J. P. Hubaux, “Joint Mobility and Routing for Lifetime Elongation in Wireless Sensor Networks,” Proceedings of 24th Annual Joint Conference of the IEEE Computer and Communications Societies, vol. 3, pp. 1735-1746, Miami, FL, 2005.
M. Bhardwaj and A. P. Chandrakasan, “Bounding the Lifetime of Sensor Networks via Optimal Role Assignments,” Proceedings of 21st Annual Joint Conference of IEEE Computer and Communications Societies, New York, USA, 2002, vol. 3, pp. 1587-1596.
M. Cagalj, J. P. Hubaux, and C. Enz, “Minimum-Energy Broadcast in All-Wireless Networks: Np-Completeness and Distribution issues,” Proceedings of 8th Annual International Conference on Mobile Computing and Networking, Atlanta, USA, 2002, pp. 172-182.
I. Papadimitriou and L. Georgiadis, “Energy-Aware routing to Maximize Lifetime in Wireless Sensor Networks with Mobile Sink,” Journal of Communications Software and Systems, vol. 2, no. 2, pp. 141-151, June 2006.
L. Pelusi, A. Passarella, and M. Conti, “Opportunistic Networking: Data Forwarding in Disconnected Mobile Ad Hoc Networks,” IEEE Communications Magazine, vol. 44, no. 11, pp. 134-141, November 2006.
R. C. Shah, S. Roy, S. Jain, and W. Brunette, “Data MULEs: Modeling a Three-Tier Architecture for Sparse Sensor Networks,” Proceedings IEEE International Workshop on Sensor Network Protocols and Applications, USA, 2003, pp. 30-41.
C. H. Ou and K. F. Ssu, “Routing with Mobile Relays in Opportunistic Sensor Networks,” 18th IEEE Annual International Symposium on Personal, Indoor and Mobile Radio Communications, Athens, 2007, pp. 1-5.
S. Meguerdichian and M. Potkonjak, “Low Power 0/1 Coverage and Scheduling Techniques in Sensor Networks,” UCLA Technical Reports 030001, January 2003.
K. Chakrabarty, et al., “Grid Coverage for Surveillance and Target Location in Distributed Sensor Networks,” IEEE Transactions on Computers, vol. 51, no. 12, pp. 1448-1453, December 2002.
B. Chen, K. Jamieson, H. Balakrishnan, and R. Morris, “Span: An Energy Efficient Co-Ordination Algorithm for Topology Maintenance in Ad Hoc Wireless Networks,” ACM Wireless Networks, vol. 8, no. 5, pp. 481-494, September 2002.
X. Wang, G. Xing, Y. Zhang, C. Lu, R. Pless, and C. Gill, “Integrated Coverage and Connectivity Configuration in Wireless Sensor Networks,” Proceedings of SenSys, pp. 28-39, LA, USA, 2003.
M. Cardei and D. Du, “Improving Wirelessn Sensor Network Lifetime Through Power Aware Organization,” ACM Journal of Wirless Networks, vol. 11, no. 3, May 2005.
M. Cardei, M. Thai, Y. Li, and W. Wu, “Energy-Efficient Target Coverage in Wireless Sensor Networks,” Proceedings of 24th Annual Joint Conference of the IEEE INFOCOM, Miami, FL, USA, 2005, pp. 1976-1984.
V. Rajendran, K. Obraczka, and J. J. Garicia-Luna-Aceves, “Energy-Efficient, Collision-Free Medium Access Control for Wireless Sensor Networks,” Proceedings ACM SenSys, LA, CA, November 2003, pp. 181-192.
V. Rajendran, “Energy-Efficient, Application Aware Medium Access for Sensor Networks,” Proceedings 2nd IEEE Conference on Mobile Ad-Hoc and Sensor Systems (MASS), 2005, pp. 8-630.
W. L. Lee, A. Datta, and R. Cardell-Oliver, “FlexiTP: A Flexible-Schedule-Based TDMA Protocol for Fault-Tolerant and Energy-Efficient Wireless Sensor Networks,” IEEE Transactions on Parallel and Distributed Systems, vol. 19, no. 6, pp. 851-864, June 2008.
S. Gobriel, D. Mousse, and R. Cleric, “TDMA-ASAP: Sensor Network TDMA Scheduling with Adaptive Slot Stealing and Parallelism,” 29th IEEE International Conference on Distributed Computing Systems, Montreal, QC, 2009, pp. 458-465.
W. Ye, J. Heidemann, and D. Estrin, “Medium Access Control with Coordinated Adaptive Sleeping for Wireless Sensor Networks,” IEEE/ACM Transactions on Networking, vol. 12, no. 3, pp. 493-506, June 2004.
T. Van Dam and K. Langendoen, “An Adaptive Energy Efficient MAC Protocol for Wireless Sensor Networks,” Proceedings of 1st International Conference on Embedded Networked Sensor Systems, November 2003, pp. 171-180.
G. Lu, B. Krishnamachari, and C. S. Raghavendra, “An Adaptive Energy Efficient and Low-Latency Mac for Data Gathering in Wireless Sensor Networks,” Proceedings 18th International Parallel and Distributed Processing Symposium, New Mexico, USA, April 2004, vol. 224, pp. 26-30.
J. Polastre, J. Hill, and D. Culler, “Versatile Low Power Media Access for Sensor Networks,” Proceedings 2nd ACM Conference on Embedded Networked Sensor Systems (SenSys), Maryland, November 2004.
I. Rhee, A. Warrier, M. Aia, and J. Min, “Z-MAC: A Hybrid MAC for Wireless Sensor Networks,” IEEE/ACM Transactions on Networking, vol. 16, no. 3, pp. 511-524, June 2008.
S. Mahfoudh, G. Chalhoub, P. Minet, M. Misson, and I. Amdouni, “Node Coloring and Color Conflict Detection in Wireless Sensor Networks,” Future Internet, vol. 2, no. 4, pp. 469-504, 2010.
A. Salman, “Real Time Vehicle Tracking System and Energy Reduction,” University of Waterloo Library, Ontario, Canada, 2017.
I. F. Akyildiz, W. Su, Y. Sankarasubramaniam, and E. Cayirci, “Wireless Sensor Networks: A Survey,” Computer Network, vol. 38, pp. 393-422, March 2002.
C. M. Sadler and M. Martonosi, “Data Compression Algorithms for Energy-Constrained Devices in Delay Tolerant Networks,” Proceedings of the 4th International Conference on Embedded Networked Sensor Systems, SenSys, Boulder, USA, 2006, pp. 265-278.
I. Buchmann, “Batteries in a Portable World: A Handbook on Rechargeable Batteries for Non-Engineers,” 3rd ed. Richmond: Cadex Electronics, 2011.
https://www.microchip.com/wwwproducts/en/PIC32MX775F256H.
M. C. Rosu, A. Iliesiu, Y. C. Hamed, and S. G. Obreja, “A GI Proposal to Display ECG Digital Signals Wirelessly Real-Time Transmitted Onto a Remote PC,” Advances in Technology Innovation, vol. 3, no. 3, pp. 118-125, March 2018.
https://msoon.github.io/powermonitor/PowerTool/doc/Power%20Monitor%20Manual.pdf
https://en.freedownloadmanager.org/Windows-PC/Monsoon-PowerTool-FREE.html
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