Distributed Algorithm for En Route Aggregation Decision in Wireless Sensor Networks-

Abstract
Sensor networks en route aggregation decision regarding where and when aggregation shall be performed along the routes has been explicitly , implicitly studied extensively. However, existing solutions have omitted one key dimension in the optimization space, namely, the aggregation cost. In this paper, focusing on optimizing over both transmission and aggregation costs, we develop an online algorithm capable of dynamically adjusting the route stru ....etc

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Impact of Node Mobility on Routing Protocols for Wireless Sensor Networks
G. Santhosh Kumar, M.V. Vinu Paul and K. Poulose Jacob
Abstract”
1
Wireless sensor networks monitor their
surrounding environment for the occurrence of some
anticipated phenomenon. Most of the research related to
sensor networks considers the static deployment of sensor
nodes. Mobility of sensor node can be considered as an
extra dimension of complexity, which poses interesting
and challenging problems. Node mobility is a very
important aspect in the des ....etc

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INTRODUCTION
1.1 HISTORY OF WIRELESS COMMUNICATION
In the history of wireless technology, the demonstration of the theory of electromagnetic waves by Heinrich Rudolf Hertz in 1888 was important. The theory of electromagnetic waves was predicted from the research of James Clerk Maxwell and Michael Faraday. Hertz demonstrated that electromagnetic waves could be transmitted and caused to travel through space at straight lines and that they were able to be received by an experimental apparatus.
David E. Hughes, indu ....etc

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INTRUSION DETECTION IN HOMOGENEOUS & HETEROGENEOUS WIRELESS SENSOR NETWORKS

Abstract: Intrusion detection in Wireless Sensor Network (WSN) is of practical interest in many applications such as detecting an intruder in a battlefield. The intrusion detection is defined as a mechanism for a WSN to detect the existence of inappropriate, incorrect, or anomalous moving attackers. In this paper, we consider this issue according to heterogeneous WSN models. Furthermore, we consider two sensing detection models: single-sensing detection and multiple- ....etc

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Tabu Search Algorithm for Cluster Building in Wireless Sensor Networks

Abstract

The challenge in wireless sensor network deployment pertains to optimizing energy consumption when collecting data from sensor nodes. This paper proposes a new centralized clustering method for a data collection mechanism in wireless sensor networks, which is based on network energy maps and quality-of-service (QoS) requirements. The clustering problem is modeled as a hypergraph partitioning and its resolution is based on a tabu search heuristic. Our approach ....etc

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Routing Protocol Enhancement for handling
Node Mobility in Wireless Sensor Networks
G. Santhosh Kumar
1
, Vinu Paul M V
2
, G. Athithan
3
and K Poulose Jacob
4
1,4
Department of Computer Science, Cochin University of Science and Technology, Cochin -682 022,
Kerala, INDIA. Email: {san, kpj}@cusat.ac.in
2,3
Centre for AI and Robotics, DRDO, Bangalore-560 093, INDIA
Email: {vinumanayil, athithan.g}@gmail.com
Authorized licensed use limited to: COCHIN UNIVERSITY OF SCIENCE AND TECHNOLOGY. Downloaded on February 7, 2009 at 06: ....etc

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Wireless Wide Area Networks (WAN) are a popular method of wirelessly accessing data over the Internet. A major concern for many corporate users of wireless WANs is data security and how to protect data that is transmitted over these wireless networks.

There are many features of these wireless networks, which provide user and data security. This paper discusses the security features for CDPD, CDMA, and GPRS networks, as well as an introduction to virtual private networks (VPN) and how these applications can be used to enhance the overall sec ....etc

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please send the seminar report of this paper to my mail id [email protected], as its very urgent now only ....etc

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ABSTRACT
Location prediction serves to save capacity on the air interface of mobile radio networks. A selection of neural networks of the feed-forward and feedback type are examined to prove their suitability for this purpose. As first results preferable network structures, input vectors, learning parameters and the simulated prediction probabilities are presented. A comparison with conventional methods shows the advantages and disadvantages of the use of neural networks for motion prediction. The results show that t ....etc

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Abstract
Most device drivers have one ulterior motive and one target to achieve - deliver the maximum using the minimum. No matter how stable or feature rich a device driver might be, if it cannot perform in terms of high throughput and low CPU utilization, it is as good as any other run of the mill driver.The objective of this topic is to use the thinking out of the box concept and expose techniques, which go beyond just good programming principles to get that extra edge which can put your next driver into the elite group of high perform ....etc

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