Binary algorithm for energy saving in low power wireless sensor networks

In many systems sensors play an important role in observing environment and collecting data. This paper explains effective algorithm developed for energy savings in low power wireless sensor networks (WSNs). We consider a dynamic network, where sensors are geographically deployed in a field with different trajectories describing behavior of an object that is passing through the sensors field. The aim is to minimize number of sensors participating in object tracking to extend the network lifetime. We show significant energy savings when a binary search algorithm is used for different network scenarios. To support long lifetime of sensors with satisfactory intrusion tracking error, energy-efficient operation is the key, since energy is scarce resource. Our algorithm is suitable for implementation in the context of Internet of Things (IoT), especially in smart and green energy applications, as well as variety of campus and defense applications.

[1]  Arvind R. Bhagat Patil,et al.  Energy efficient clustering in wireless sensor network using cluster of cluster heads , 2013, 2013 Tenth International Conference on Wireless and Optical Communications Networks (WOCN).

[2]  P. Priyanga,et al.  Enabling Smart Cloud Services Through Remote Sensing : An Internet of Everything Enabler , 2015 .

[3]  A. Leon-Garcia.  Probability, statistics, and random processes for electrical engineering , 2008 .

[4]  Sohini Roy,et al.  Energy efficient cluster based routing protocol (EECBRP) for Wireless Sensor Network , 2014, 2014 First International Conference on Networks & Soft Computing (ICNSC2014).

[5]  Mohsen Guizani,et al.  Enabling Smart Cloud Services Through Remote Sensing: An Internet of Everything Enabler , 2014, IEEE Internet of Things Journal.

[6]  Changqing Xia,et al.  Cost minimization of wireless sensor networks with unlimited-lifetime energy for monitoring oil pipelines , 2015, IEEE/CAA Journal of Automatica Sinica.

[7]  Adel Gaafar A. Elrahim.  Energy aware routing protocol for low energy sensor networks , 2013, 2013 INTERNATIONAL CONFERENCE ON COMPUTING, ELECTRICAL AND ELECTRONIC ENGINEERING (ICCEEE).

[8]  Andrey Krendzel,et al.  Wireless Mesh Networks - Efficient Link Scheduling, Channel Assignment and Network Planning Strategies , 2012 .

[9]  Migdat I. Hodzic,et al.  Cross-layer wireless networking for low energy sensor networks , 2015, 2015 International Wireless Communications and Mobile Computing Conference (IWCMC).

[10]  Edward J. Coyle,et al.  An energy efficient hierarchical clustering algorithm for wireless sensor networks , 2003, IEEE INFOCOM 2003. Twenty-second Annual Joint Conference of the IEEE Computer and Communications Societies (IEEE Cat. No.03CH37428).

[11]  Mohsen Guizani,et al.  Internet of Things: A Survey on Enabling Technologies, Protocols, and Applications , 2015, IEEE Communications Surveys & Tutorials.

[12]  V. Vijayalakshmi,et al.  A new age architecture and streamlined energy sensor routing scheme using indigenously developed green energy saving algorithm , 2013, 2013 International Conference on Green Computing, Communication and Conservation of Energy (ICGCE).

[13]  P. Anandhakumar,et al.  Lifetime extension of wireless sensor network by selecting two cluster heads and hierarchical routing , 2012, ICACCI '12.

[14]  Zhiping Zhou,et al.  An energy balanced cluster algorithm for wireless sensor networks , 2012, 2012 24th Chinese Control and Decision Conference (CCDC).

[15]  Ranjan Dasgupta,et al.  Organization and management of Semantic Sensor information using SSN ontology: An energy meter use case , 2015, 2015 9th International Conference on Sensing Technology (ICST).

[16]  Ruqiang Yan,et al.  Energy-Aware Sensor Node Design With Its Application in Wireless Sensor Networks , 2013, IEEE Transactions on Instrumentation and Measurement.

[17]  L. N. Ramya.  A case study on effective consumption of energy using sensor based switching system , 2015, 2015 International Conference on Innovations in Information, Embedded and Communication Systems (ICIIECS).

[18]  Shuang-Hua Yang,et al.  Energy-aware optimization of the number of clusters and cluster-heads in WSN , 2012, 2012 International Conference on Innovations in Information Technology (IIT).