Goals of Today’s Lecture
• Wireless links: unique channel characteristics
– High, time-varying bit-error rate
– Broadcast where some nodes can’t hear each other
• Mobile hosts: addressing and routing challenges
– Keeping track of the host’s changing attachment point
– Maintaining a data transfer as the host moves
– Two specific technologies
– Wireless: 802.11 wireless LAN (aka “WiFi”)
– Mobility: Mobile IP
– Wireless Links and Wireless Networks
Wireless Links: High Bit Error ....etc

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GREEDY ROUTING WITH ANTI-VOID TRAVERSAL FOR WIRELESS SENSOR NETWORKS -- MOBILE COMPUTING

Abstract”The unreachability problem (i.e., the so-called void problem) that exists in the greedy routing algorithms has been studied for the wireless sensor networks. Some of the current research work cannot fully resolve the void problem, while there exist other schemes that can guarantee the delivery of packets with the excessive consumption of control overheads. In this paper, a greedy antivoid routing (GAR) protocol is proposed to solve the vo ....etc

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A TABU SEARCH ALGORITHM FOR CLUSTER BUILDING IN WIRELESS SENSOR NETWORKS- MOBILE COMPUTING

Abstract”The main 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 se ....etc

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INTRUSION DETECTION IN HOMOGENEOUS & HETEROGENEOUS WIRELESS SENSOR NETWORKS-MOBILE COMPUTING

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 detec ....etc

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i need ppt about this topic so it would help for my seminars...plz can any one help me ....etc

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i am sridharan, who is pursuing final year engineering. i am doing an project on the topic on Efficient Data Collection in Wireless Sensor
Networks with Path-Constrained Mobile Sinks. so please provide me the project code and materials and presentation. i am new to this topic, so please provide all the details about this topic. thank you ....etc

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Fast Detection of Mobile Replica Node Attacks in Wireless Sensor Networks
Using Sequential Hypothesis Testing



INTRODUCTION

ADVANCES in robotics have made it possible to develop a
variety of new architectures for autonomous wireless
networks of sensors. Mobile nodes, essentially small robots
with sensing, wireless communications, and movement
capabilities, are useful for tasks such as static sensor
deployment, adaptive sampling, ....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
Mobile ad hoc networks and wireless sensor
networks have promised a wide variety of applications.
However, they are often deployed in
potentially adverse or even hostile environments.
Therefore, they cannot be readily deployed without
first addressing security challenges. Intrusion
detection systems provide a necessary layer of
in-depth protection for wired networks. However,
relatively little research has been performed
about intrusion detection in the areas of mobile
ad hoc networks and wireless sensor networks.
I ....etc

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ENERGY MAPS FOR MOBILE WIRELESS NETWORKS: COHERENCE TIME VERSUS SPREADING PERIOD


ABSTRACT:

We show that even though mobile networks are highly unpredictable when viewed at the individual node scale, the end-to-end quality-of-service (QoS) metrics can be stationary when the mobile network is viewed in the aggregate. We define the coherence time as the maximum duration for which the end-to-end QoS metric remains roughly constant, and the spreading period as the minimum durati ....etc

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