PPT-Improvement on LEACH Protocol of Wireless Sensor Network

Multihop LEACH Energy LEACH 1 Abstract E nergyLEACH and multihop LEACH protocols EnergyLEACH protocol improves the choice method of the cluster head makes some nodes which . In applications with a great number of sensor nodes and a wide area of monitored environment it is not always feasible to replace the battery In some cases even the lo cation of the sensor node is unknown In order to achieve a long lifetime of the s protocol based on dynamic route. Preparation: . Ameera. . Saad. Al-. harthi. 43580054. Supervisor: . Dr. . Abdulteef. . semia. . Out Line . 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 . Background. Students are asked to write a short essay on the ethical and practical effects of jamming technology such as cell phones. Students also perform a traditional lab on electromagnetic interference patterns with laser pointers and diffraction gratings.. By . M. JAFFAR KHAN. SP11-REE-029. 1. Abstract. Classification . of sensor . networks with respect to mode of functioning. proactive networks. reactive . networks . Proactive . networks, respond immediately . Monitoring in Urban Catchments. IEEE . SENSORS JOURNAL, VOL. 12, NO. 5, MAY . 2012. Chan . H. See, Kirill V. . Horoshenkov. , . Raed. A. . Abd-Alhameed. , . Yim. Fun Hu, Senior Member, IEEE, and. Simon J. . Guoliang. Xing. Assistant Professor. Department of Computer Science and Engineering. Michigan State University. Outline. Wireless Coexistence in Open Radio Spectrum. ZigBee. link quality assurance [ICNP10, . PRESENTED BY:. SAURAV SINGH. OVERVIEW. INTRODUCTION. WINS SYSTEM ARCHITECTURE. WINS NODE ARCHITECTURE. WINS MICRO SENSORS. DISTRIBUTED SENSOR AT BORDER. WINS DIGITAL SIGNAL PROCESSING. CHARACTERSTIC & APPLICATION. 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. Security. Babak . D. Beheshti. Professor & Associate Dean,. School . of Engineering & Computing . Sciences, New . York Institute of Technology. Old Westbury, NY, USA. Presenter and Date. Agenda. Dynamic Wireless Communication between Peer-to-Peer UAVs Simon Khan AFRL Information Directorate Integrity  Service  Excellence Objectives Today’s collection of Tactical University of California, Berkeley. Joseph . Polastre. Robert . Szewczyk. Cory Sharp. David Culler. “The Mote Revolution: Low Power Wireless Sensor Network Devices” Hot Chips 2004 : Aug 22-24, 2004. ABSTRACT. Wireless . communication solutions are . gaining momentum in . industrial automation systems, thanks to their well-known advantages, . including higher . levels of flexibility and mobility, and possible cost reductions due to . Model: PAC-USWHS003-1 This sensor allows remote temperature and humidity sensing for any indoor equipment equipped with Kumo Cloud or Kumo Station. It can also be used to activate a humidifier through