ENERGY SAVING IN WIRELESS SENSOR NETWORKS : URBAN TRAFFIC MANAGEMENT APPLICATION

Since ten years, researches on the technology of wireless sensor network (WSN) in the field of urban traffic management succeed without proposing a reliable solution for all the constraints suffered. In this article, we study the scenario of using a wireless sensor network to control traffic lights an urban transport network and optimize its functioning by reducing the average waiting time of users and traffic fluidity. We are interested in a simple network at an intersection. Our study provides primarily, a study of the researches work that were done, and who are at the present time, in order to solve the number of communication problem between network of sensor node and the traffic light controller (each node collects data and sends them) with the consideration of energy consumption. it is termed the energy of communication. Note that the energy of communication represents the largest portion of the energy consumed by a sensor node. So, it is necessary minimize energy costs, because energy is a key constraint in sensor networks. For this, we have proposed an algorithm to reduce the number of packets sent by the sensor. The results of our simulations show that our algorithm is effective and practical.

[1]  Archana Singh,et al.  Analysis and Simulation of Energy Efficient Optimal Scenarios for Cluster Based Routing Protocol in Wireless Sensor Network , 2016 .

[2]  Yun Liu,et al.  High energy‐efficient and privacy‐preserving secure data aggregation for wireless sensor networks , 2013, Int. J. Commun. Syst..

[3]  Bart De Schutter,et al.  Optimal Traffic Light Control for a Single Intersection , 1999, Eur. J. Control.

[4]  A. Koopman,et al.  Simulation and optimization of traffic in a city , 2004, IEEE Intelligent Vehicles Symposium, 2004.

[5]  Gerhard P. Hancke,et al.  A Survey on Urban Traffic Management System Using Wireless Sensor Networks , 2016, Sensors.

[6]  Hojung Cha,et al.  Automated sensor-specific power management for wireless sensor networks , 2008, 2008 5th IEEE International Conference on Mobile Ad Hoc and Sensor Systems.

[7]  Dongman Lee,et al.  Energy efficient topology for wireless microsensor networks , 2005, PE-WASUN '05.

[8]  Bo Du,et al.  Low-Cost and Energy-Saving Wireless Sensor Network for Real-Time Urban Mobility Monitoring System , 2015, J. Sensors.

[9]  Bo Yang,et al.  Traffic light control for a single intersection based on wireless sensor network , 2009, 2009 9th International Conference on Electronic Measurement & Instruments.

[10]  Ali M. Shatnawi,et al.  Intelligent Traffic Light Flow Control System Using Wireless Sensors Networks , 2010, J. Inf. Sci. Eng..

[11]  S.A. Khan,et al.  Analyzing & Enhancing energy Efficient Communication Protocol for Wireless Micro-sensor Networks , 2005, 2005 International Conference on Information and Communication Technologies.

[12]  Abdelhamid Mellouk,et al.  A swarm intelligent scheme for routing in mobile ad hoc networks , 2005, 2005 Systems Communications (ICW'05, ICHSN'05, ICMCS'05, SENET'05).

[13]  Jennifer C. Hou,et al.  On deriving the upper bound of α-lifetime for large sensor networks , 2004, MobiHoc '04.

[14]  Sukhwinder Singh Sran,et al.  Energy Aware Chain based data aggregation scheme for wireless sensor network , 2015, 2015 International Conference on Energy Systems and Applications.

[15]  Giuseppe Anastasi,et al.  Energy management in wireless sensor networks with energy-hungry sensors , 2009 .

[16]  Giovanni Pau,et al.  Wireless Sensor Networks to Improve Road Monitoring , 2012 .

[17]  Sanjeev Jain,et al.  Energy Efficient Clustering Algorithms in Wireless Sensor Networks: A Survey , 2011 .

[18]  Judith Kelner,et al.  Sampling energy consumption in wireless sensor networks , 2006, IEEE International Conference on Sensor Networks, Ubiquitous, and Trustworthy Computing (SUTC'06).

[19]  Paolo Santi Topology control in wireless ad hoc and sensor networks , 2005 .

[20]  Baochun Li,et al.  On the fundamental capacity and lifetime limits of energy-constrained wireless sensor networks , 2004, Proceedings. RTAS 2004. 10th IEEE Real-Time and Embedded Technology and Applications Symposium, 2004..

[21]  Yunxia Chen,et al.  Maximizing the Lifetime of Sensor Network Using Local Information on Channel State and Residual Energy , 2005 .

[22]  Lucia Lo Bello,et al.  Energy-Efficient MAC Protocols for Wireless Sensor Networks , 2009, Networked Embedded Systems.