PPT-Routing Techniques in Wireless Sensor Networks: A

Routing Techniques in Wireless Sensor Networks A Survey Outline Background Classification of Routing Protocols Data Centric Protocols Flooding and Gossiping SPIN Directed Diffusion Rumor Routing Background Sensor nodes Small wireless. 6-. 1. Chapter 6. Wireless and Mobile Networks. Computer Networking: A Top Down Approach . 4. th. edition. . Jim Kurose, Keith Ross. Addison-Wesley, July 2007. . Computer Networking: A Top Down Approach . Abstract. Ad hoc low-power wireless networks are an exciting research direction in sensing and pervasive computing. .. . Prior security work in this area has focused primarily on denial of communication at the routing or medium access control levels. . SINKS. Acknowledgement. Xiujuan. Yi (xyi@uci.edu). . Malini. . Karunagaran. Rutuja Raghoji. Ramya. . Tridandapani. Introduction. Typical . sensor network applications generate . large amounts . of data and send that data to the base station . . Outline. Background. Classification of Routing Protocols. Data Centric Protocols. Flooding and Gossiping. SPIN. Directed Diffusion. Rumor Routing. Background. Sensor . nodes. Small. , wireless, battery . A proposal for an integrated new routing protocol using existing technologies used for underwater communications. By Prajit Kumar Das. For CMSC 601: Research Skills in Computer Science. Date: April 20. 6-. 1. TCP over ATM:. UBR: for delay-tolerant applications . e.g., ftp, telnet. ABR: . for delay sensitive applications, e.g., on-line sessions. provides explicit congestion signaling. TCP over UBR:. John A. . Stankovic. Presented by:. Sandeep. . reddy. . allu. The technologies for wireless communication, sensing, . and . computation are each progressing at faster and faster . rates. . Notably, they are also being combined for an . 6-. 1. Chapter 6. Wireless and Mobile Networks. Computer Networking: A Top Down Approach . 4. th. edition. . Jim Kurose, Keith Ross. Addison-Wesley, July 2007. . Computer Networking: A Top Down Approach . Authors: Chris . Karlof. and David Wagner. University of California at Berkeley, Berkeley, CA 94720, USA. Presented by Chung Tran. Outline. Introduction. Background. Sensory Network vs. ad-hoc wireless network. . Outline. Background. Classification of Routing Protocols. Data Centric Protocols. Flooding and Gossiping. SPIN. Directed Diffusion. Rumor Routing. Background. Sensor . nodes. Small. , wireless, battery . CS577 . Advanced . Computer Networks . WSN Outline. Introduction. Mote Revolution. Wireless Sensor Network (WSN) Applications. WSN Details. Types of Wireless Sensor Networks (WSNs). Tiered Architectures. Lifetime. Zi. Li, Yang . Peng. , . Wensheng. Zhang, and . Daji. . Qiao. Iowa State University, Ames, IA, . USA. IEEE . 2011. propose. Prolong Sensor Network Lifetime . Find max network lifetime. Consider two part: Data routing, charging path. Prof. Maria Papadopouli. University of Crete. ICS-FORTH. http://www.ics.forth.gr/mobile. Wireless Networks & Mobile Computing. ACKNOWLEDGEMENT. : . Slides used from . presentations by. Manolis. . Redes. y . Servicios. . Ubicuos. y . Seguros. Unit 4: Network Technologies. Ana Belén García Hernando. abgarcia@diatel.upm.es. , . anabelen.garcia@upm.es. Networking challenges in WSN. Low energy consumption [vs. .