An Energy Efficient Position Based Adaptive Real-Time Routing Protocol for WSNs

Devices for Wireless Sensor Networks (WSN) are limited by power and thus routing protocols should be designed with this constrain in mind. This paper presents and evaluates an Energy Efficient Position Based Adaptive Real-Time Routing protocol (EFPBARP) as a novel, real-time, position based and energy efficient routing protocol. EFPBARP is a lightweight protocol that reduces the number of nodes which receive the RF signal using a novel Parent Forwarding Region (PFR) algorithm. EFPBARP as a Geographical Routing Protocol (GRP) reduces the number of forwarding nodes and thus the traffic and packet collision in the network. A series of performance evaluations through Matlab and Omnet++ simulations show significant improvements in network performance parameters and total energy consumption over CTP and Directed Flooding Routing Protocol (DFRP).

[1]  Fariborz Entezami,et al.  An enhanced routing metric for ad hoc networks based on real time testbed , 2012, 2012 IEEE 17th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD).

[2]  Yongjun Li,et al.  ICTP: An improved data collection protocol based OnCTP , 2010, 2010 International Conference on Wireless Communications & Signal Processing (WCSP).

[3]  Fariborz Entezami,et al.  An Analysis of Routing Protocol Metrics inWireless Mesh Networks , 2014 .

[4]  Wenqiang Xu,et al.  A Novel TinyOS 2.x Routing Protocol with Load Balance Named CTP-TICN , 2011 .

[5]  Wendi Heinzelman,et al.  Energy-efficient communication protocol for wireless microsensor networks , 2000, Proceedings of the 33rd Annual Hawaii International Conference on System Sciences.

[6]  J.T. Adams.  An introduction to IEEE STD 802.15.4 , 2006, 2006 IEEE Aerospace Conference.

[7]  Ming Zhu,et al.  Load Migrating for the Hot Spots in Wireless Sensor Networks Using CTP , 2011, 2011 Seventh International Conference on Mobile Ad-hoc and Sensor Networks.

[8]  Wei Liu,et al.  A survey of Wireless Sensor Networks , 2011, World Automation Congress 2012.

[9]  Fariborz Entezami,et al.  Find the Weakest Link: Statistical Analysis on Wireless Sensor Network Link-Quality Metrics , 2014, IEEE Vehicular Technology Magazine.

[10]  Krishna M. Sivalingam,et al.  Data Gathering Algorithms in Sensor Networks Using Energy Metrics , 2002, IEEE Trans. Parallel Distributed Syst..

[11]  Kevin Curran,et al.  A Survey of Geographical Routing in Wireless Ad-Hoc Networks , 2013, IEEE Communications Surveys & Tutorials.

[12]  Kemal E. Tepe,et al.  Region based three dimensional real-timel routing protocol for wireless sensor networks , 2013, 2013 IEEE SENSORS.

[13]  Wu Yi-Zhi,et al.  Pareto Optimal Collection Tree Protocol for industrial monitoring WSNs , 2011, 2011 IEEE GLOBECOM Workshops (GC Wkshps).

[14]  Chenyang Lu,et al.  A spatiotemporal communication protocol for wireless sensor networks , 2005, IEEE Transactions on Parallel and Distributed Systems.

[15]  Gurpreet Singh,et al.  Algorithms for finding best locations of cluster heads for minimizing energy consumption in wireless sensor networks , 2013, Wirel. Networks.

[16]  Guoliang Xing,et al.  Real-time Power-Aware Routing in Sensor Networks , 2006, 200614th IEEE International Workshop on Quality of Service.

[17]  Fariborz Entezami,et al.  3DPBARP: A three dimensions position based adaptive real-time routing protocol for wireless sensor networks , 2015, 2015 7th International Conference on New Technologies, Mobility and Security (NTMS).

[18]  Fariborz Entezami,et al.  RCTP: An Enhanced Routing Protocol Based on Collection Tree Protocol , 2015, Int. J. Distributed Sens. Networks.

[19]  Chang-Gun Lee,et al.  MMSPEED: multipath Multi-SPEED protocol for QoS guarantee of reliability and. Timeliness in wireless sensor networks , 2006, IEEE Transactions on Mobile Computing.

[20]  Philip Levis,et al.  Collection tree protocol , 2009, SenSys '09.

[21]  Fariborz Entezami,et al.  Deploying parameters of Wireless Sensor Networks in test bed environment , 2014, 2014 IEEE Wireless Communications and Networking Conference Workshops (WCNCW).