A stochastic energy consumption model for wireless sensor networks using GBR techniques

IEEE AFRICON Conference

Volumn 2015-November, Issue , 2015, Pages

  Migabo, M E ^a   Djouani, K ^a   Kurien, A M ^a   Olwal, T O ^a  

^a TSHWANE UNIVERSITY OF TECHNOLOGY   (South Africa)

Author keywords

EA GBR; Energy aware GBR; GBR C:GBR competing; GBR: Gradient based routing; WSN: Wireless sensor network

Indexed keywords

DESIGN; ENERGY EFFICIENCY; ENERGY UTILIZATION; LOW NOISE AMPLIFIERS; NETWORK LAYERS; NETWORK ROUTING; POWER MANAGEMENT; RANDOM PROCESSES; SENSOR NODES; STOCHASTIC CONTROL SYSTEMS; STOCHASTIC MODELS; STOCHASTIC SYSTEMS; TOPOLOGY; WIRELESS SENSOR NETWORKS; WIRELESS TELECOMMUNICATION SYSTEMS;

EA-GBR; ENERGY AWARE; GBR-C:GBR-COMPETING; GRADIENT-BASED ROUTING; TOTAL ENERGY CONSUMPTION; WIRELESS CHANNEL ENVIRONMENTS; WIRELESS COMMUNICATION SYSTEM; WIRELESS SENSOR NETWORK (WSNS);

POWER MANAGEMENT (TELECOMMUNICATION);

EID: 84962502969     PISSN: 21530025     EISSN: 21530033     Source Type: Conference Proceeding    
DOI: 10.1109/AFRCON.2015.7331987     Document Type: Conference Paper

References (10)

1. L. Miao,K. Djouani,A. Kurien and G. Noel, A Competing ALgorithm for the Gradient Based Protocol in Wireless Sensor Networks, In proceedings of the 2010 International Conference on Wireless Information Networks and Systems(WINSYS). Athens, Greece, 2010.
2. AX. Das,C. Eapen,A. Ashok,RM. Shadi and S. Teipathi, Dynamic Event Based Energy Efficient Routing Protocol For Wireless Sensor Networks(WSNs),International Journal of Engineering and Advanced Technology (IJEAT), Vol. 1,August 2012.
3. C. Schurgers and M.B. Srivastava, Energy efficient routing in wireless sensor networks,In the MILCOM Proceedings on Communications for Network-Centric Operations: Creating the Information Force, McLean, VA,2001.
4. AJ. Odey and D. Li, Low Power Transceiver Design Parameters for Wireless Sensor Networks,In the Wireless Sensor Network Journal of scientific Research,2012.
5. R. Jurdak, AG. Ruzzelli and GMP. O'HareRadio Sleep Mode Optimization in Wireless Sensor Networks,In Transactions on Mobile Computing, vol. 9, No. 7, July 2010.
6. B. Hohlt, L. Doherty and E. BrewerFlexible Power Scheduling for Sensor Networks,In Proceedings of the 3rd International Symposium on Information Processing in Sensor Networks,April 2004.
7. M. Stemm and R. Katz Measuring and Reducing Energy Consumption of Network Interfaces in Hand-Held Devices,In IEICE Transactions on Communications, vol. E80-B, pp.1125-1131, August 1997.
8. L. Doherty, B. Warneke, BE. Boser and KSJ. Pister Energy and performance considerations for smart dust,In International Journal of Distributed Sensor Networks (IJDSN), vol. 4,No.3, 2001.
9. GJ. Pottie and LP. ClareWireless Integrated Network Sensors: Towards Low Cost and Robust Self-Organizing Security Networks, Communications ACM, vol. 43, no. 5, May 2000, pp. 5158.
10. J.M. Alcal, A. Hernndez,V. Cionca and B. OFlynn An Energy Consumption Model for a Wireless Sensor Network Node based on the division of the Duty Cycle, SENSORCOMM conference, IARIA, 2013.