Strong barrier coverage in directional sensor networks
Here authors are mainly focused on strong barrier coverage using directional sensors.
One-dimension case is considered for strong barrier coverage with the minimum number of directional sensors along a straight line.
Here the author has made the Performance assessment on the basis of node number (N) and sensing radius (R) and then calculate the rate of finding robust barrier path (denoted by p).
Discussion also focused on determining the comparative position of directional sensors to accomplish robust barrier coverage.

An Uniform Handover Authentication between E-UTRAN and Non-3GPP Access Networks
Throughout the unified handoffs between the E-UTRAN and other access networks

it requires a widespread real-time interconnectivity in the LTE networks. The author's scheme provides resilient security guarantees including Perfect Forward Secrecy (PFS) and Master Key Forward Secrecy (MKFS) and user anonymity. The author tries to achieve a artless authentication process with robust efficiency in terms of communication cost, storage cost and computational cost.

A QoS Oriented Vertical Handoff Scheme for WiMAX/WLAN Overlay Networks

Due to the afresh advanced WiMAX, there have been some limited schemes made for VHOs in WiMAX/WLAN overlay networks. Some related issues have been investigated: Intends the protocol which the networks were integrated in a loosely coupled manner. Relativity between user preference metrics. Take the QoS metrics into account in handoff decision, but the network condition detection schemes have not been provided. QoS aware handoff solutions were addressed. But only bandwidth was taken as the QoS metric.
IN Network Condition Detection and Handoff Decision, the author has made a decision of whether to perform a VHO by VHOM and a proposal has been made to examine the conditions of the other network as per QoS requirements. Various algorithms are also projected for estimations of network parameters.

Sensory data management and it's real world applications
In the current preceding, exploration in sensor systems motivated on node hardware constraints and very limited energy resources. But in this day and age, new applications want data processing with temporal constraints in their tasks. So one of the new challenges faced by wireless sensor networks (WSNs) is handling real-time storage and querying the data they process. Two main approaches to storage and querying data are generally considered warehousing and distributed. The warehousing approach stores data in a central database and then queries may be performed to it. In a distributed approach, sensor devices are considered as local databases and data are managed locally. The data collected by sensors must represent the current state of the environment; for this reason they are subject to logic and time constraints. Then, this paper identifies the main specifications of real-time data management and presents the available real-time data management solutions for WSNs, in order to discuss them and identify some open issues and provide guidelines for further contributions.

Real world Applications:-

In the emerging Internet of Things (IOT) each and every real world object can be networked to accomplish the Thing To People (TTP) and Thing To Thing (TTT) communications. In this project Smart cloth is a thing, having five major sensors:-
• S1. Body Temperature
• S2. Five Triaxial accelerometers on arms, body
• S3. 2 leads ECG (Electrocardiography)
• S4. 2 lead EMG (Electromyography)
• S5. Breathing
Those sensors are fabricated into the smart cloth by using embedded SOCs integrations. A smart phone can be used to be act as gateway and some minor pre-processing. According to the body positions, different sensors are fabricated in different parts of the smart cloth and have wired links in between them. The physiological signals/data which sensed from the above sensors are passed through the gateway (Smart Phone) to the internet/extranet cloud via wireless link. The cloud has multiple different types of networked database servers to accommodate different classes of data and its processing activities.
A sink must be fabricated in smart cloth, which has wired links to all sensors in which all sensors can able to transmit the physiological signals/data to the cloud through the gateway. The cluster of doctors accesses the data from the cloud to provide necessary services.
Each smart cloth must have an embedded chip to store its user localization details and other information to establish emergency contacts.

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