Average Temperature comparison of static and random nodes in Leach Protocol

Kiranpreet Kaur

Abstract


Wireless sensor network works be deploying wireless data collecting node in open environment. Initial deployment of wireless sensors plays an important role in efficiency of data collection and network performance. Though there are some restrictions to the sensor deployment but still choice of deployment scheme helps a lot in increasing efficiency of the nodes. Wrong deployment of sensors might result in inefficient data collection there by reducing overall network life. While some other scheme may result in efficient network communication but poor data collection. Choosing deployment scheme is of critical importance for efficient network performance. In this paper we have implemented static and random nodes of leach in ns2 simulator and compared their performance.


Full Text:

PDF

References


Monica, Ajay K Sharma. Comparative Study of Energy Consumption for Wireless Sensor Networks based on Random and Grid Deployment Strategies. International Journal of Computer Applications (0975 – 8887)Volume 6– No.1, September 2010Communications Magazine, 40(8):102–14.

Sung-Chan Choi, Jang-Won Lee, Yeonsoo Kim, Hakjin Chong. 2007. An Energy-Efficient MAC Protocol with Random Listen-Sleep Schedule for Wireless Sensor Networks. IEEE.[3] Matthias Ringwald, Kay R¨omer. 2007. Deployment ofSensor Networks: Problems and Passive Inspection.

Kenan Xu ,Glen Takahara, Hossam Hassanein, On the robustness of grid-based deployment in wireless sensor networks.

E. S. Biagioni and G. Sasaki. 2003. Wireless Sensor Placement for Reliable and Efficient Data Collection. IEEE HICSS’03, pp. 127b.

Pervasive Computing ETH Zurich, Switzerland H. Poor.1985. An Introduction to Signal Detection and Estimation.New York: Springer-Verlag.

Andrew Howard, Maja J Matari´c, and Gaurav S Sukhatme. 2002. Mobile Sensor Network Deployment using PotentialFields: A Distributed, Scalable Solution to the AreaCoverage Problem. Submitted to the 6th International Symposium on Distributed Autonomous Robotics System(DARS02).

Ali Iranli, Morteza Maleki, Masooud Pedram. 2005. Energy Efficient Strategies for Deployment of a Two-Level

Wireless Sensor Network.

Richard Tynan, Antonio Ruzzelli, G.M.P.O’Hare. 2005. A Methodology for the Deployment of Muti-Agent Systems on Wireless Sensor Networks.

Chih-Yung Chang, Kuei-Ping Shih and Shih-Chieh Lee. 2005. ZBP: A Zone Based Broadcasting Protocol for Wireless Sensor Networks. Wireless Personal Communication 33:53-68.

Jiaghao Li, Yuebin Bai, Haixing Ji, Jihong Ma, Yong Tian and Depei Qian. 2006. POWER: Planning and Deployment Platform for Wireless Sensor Networks. In proceedings of the Fifth International Conference on Grid and Cooperative Computing Workshops (GCCW’06), IEEE.

Chih-Yung Chang, Kuei-Ping Shih, Hsu-Ruey Chang, Hsiao-Jung Liu. 2006. Energy- Balanced Deployment and Topology Control for Wireless Sensor Networks. In IEEE GLOBECOM proceedings.

Pradnya Gajbhiye, Anjali Mahajan. 2008. A Survey of Architecture and Node Deployment in Wireless Sensor

Network.

Ian F. Akyildiz, Weilian Su, Yogesh Sankarasubramaniam, and Erdal Cayirci. A survey on Sensor networks. Georgia Institute of Technology

Rabi Mahapatra. Embedded systems for wireless sensor networks.


Refbacks

  • There are currently no refbacks.


Copyright (c) 2016 VNN Journal of Computers & Technology

sofia pro fontDesign & Maintained By Ruler Dynasty InfoTech Pvt Ltd