The recent technological advances in micro electro-mechanical systems have promoted the development of a powerful class of sensor-based distributed intelligent systems capable of ubiquitously retrieving multimedia information, namely Wireless Multimedia Sensor Networks (WMSNs). WMSNs are gaining more popularity day by day as they are envisioned to support a large number of both non-real time and real-time multimedia applications. However, satisfying the stringent quality of service (QoS) requirements of multimedia transmission in a resource-constrained sensor network environment places new challenges to routing. As an outcome, optimal energy and application-specific QoS aware routing for WMSNs has gained considerable research attention recently. In this paper, current state-of-the-art in energy-efficient routing techniques for WMSNs is surveyed together with the highlights of the performance issues of each strategy. We outline the design challenges of routing protocols for WMSNs followed by the limitations of current techniques designed for non-multimedia data transmission. Further, a classification of recent routing protocols for WMSNs and a discussion of possible future research trends are presented.

A Survey on Energy-Efficient Routing Techniques with QoS Assurances for Wireless Multimedia Sensor Networks

Ant-based routing for wireless multimedia sensor networks using multiple QoS metrics

Wearable physiological monitoring system consists of an array of sensors embedded into the fabric of the wearer to continuously monitor the physiological parameters and transmit wireless to a remote monitoring station. At the remote monitoring station the data is correlated to study the overall health status of the wearer. In the conventional wearable physiological monitoring system, the sensors are integrated at specific locations on the vest and are interconnected to the wearable data acquisition hardware by wires woven into the fabric. The drawbacks associated with these systems are the cables woven in the fabric pickup noise such as power line interference and signals from nearby radiating sources and thereby corrupting the physiological signals. Also repositioning the sensors in the fabric is difficult once integrated. The problems can be overcome by the use of physiological sensors with miniaturized electronics to condition, process, digitize and wireless transmission integrated into the single module. These sensors are strategically placed at various locations on the vest. Number of sensors integrated into the fabric form a network (Personal Area Network) and interacts with the human system to acquire and transmit the physiological data to a wearable data acquisition system. The wearable data acquisition hardware collects the data from various sensors and transmits the processed data to the remote monitoring station. The paper discusses wireless sensor network and its application to wearable physiological monitoring and its applications. Also the problems associated with conventional wearable physiological monitoring are discussed.

Wireless Sensor Network for Wearable Physiological Monitoring

http://www.scielo.org.mx/pdf/jart/v12n4/v12n4a18.pdf

An Energy Efficient Routing Protocol for Wireless Sensor Networks using A-star Algorithm

A new localized quality of service (QoS) routing protocol for wireless sensor networks (WSN) is proposed in this paper. The proposed protocol targets WSN's applications having different types of data traffic. It is based on differentiating QoS requirements according to the data type, which enables to provide several and customized QoS metrics for each traffic category. With each packet, the protocol attempts to fulfill the required data-related QoS metric(s) while considering power efficiency. It is modular and uses geographical information, which eliminates the need of propagating routing information. For link quality estimation, the protocol employs distributed, memory and computation efficient mechanisms. It uses a multisink single-path approach to increase reliability. To our knowledge, this protocol is the first that makes use of the diversity in data traffic while considering latency, reliability, residual energy in sensor nodes, and transmission power between nodes to cast QoS metrics as a multiobjective problem. The proposed protocol can operate with any medium access control (MAC) protocol, provided that it employs an acknowledgment (ACK) mechanism. Extensive simulation study with scenarios of 900 nodes shows the proposed protocol outperforms all comparable state-of-the-art QoS and localized routing protocols. Moreover, the protocol has been implemented on sensor motes and tested in a sensor network testbed.

Traffic-Differentiation-Based Modular QoS Localized Routing for Wireless Sensor Networks

QoS and energy aware routing for real-time traffic in wireless sensor networks

Described embodiments are directed to systems, methods, and apparatuses for dynamically scheduling channel dwell times across two or more channels across a single radio using Multi-Channel Concurrency. Communications may be transmitted and/or received over a first channel of the radio during a first dwell time of a dwell period and over a second channel of the radio during a second dwell time of the dwell period. Some embodiments include adjusting the dwell period and/or dwell time spent actively transmitting or receiving on two or more channels based on measured channel utilization metrics, to drive toward a balanced utilization across the two or more channels. Other embodiments include adjusting the dwell period and/or dwell time of multiple channels based on latency information and/or priority information of at least one of the channels.

Dynamic scheduling for multi-channel concurrency switching

Group oriented multicast applications are becoming increasingly popular in mobile ad hoc networks (MANETs). Due to dynamic topology of MANETs, stateless multicast protocols are finding increased acceptance since they do not require maintenance of state information at intermediate nodes. Recently, several multicast schemes have been proposed which scale better with the number of multicast sessions than traditional multicast strategies. These schemes are also known as explicit multicast (Xcast; explicit list of destinations in the packet header) or small group multicast (SGM). In this paper, we propose a new scheme for small group multicast in MANETs named extended explicit multicast (E2M), which is implemented on top of Xcast and introduces mechanisms to make it scalable with number of group members for a given multicast session. Unlike other schemes, E2M does not make any assumptions related to network topology or node location. It is based on the novel concept of dynamic selection of Xcast forwarders (XFs) between a source and its potential destinations. The XF selection is based on group membership and the processing overhead involved in supporting the Xcast protocol at a given node. If the number of members in a given session is small, E2M behaves just like the basic Xcast scheme with no intermediate XFs. As group membership increases, nodes may dynamically decide to become an XF. This scheme, which can work with few E2M aware nodes in the network, provides transparency of stateless multicast, reduces header processing overhead, minimizes Xcast control traffic, and makes Xcast scalable with the number of group members.

A scalable explicit multicast protocol for MANETs

Techniques for providing a secure Fine Timing Measurement (FTM) exchange between two wireless transceivers are disclosed. An example of a method according to the disclosure include transmitting a protected FTM range request message with a Dialog Token of a FTM frame, receiving a protected FTM range report message from a station, wherein the protected FTM range report message includes FTM information, and authenticating the station based at least in part on the FTM information included in the protected FTM range report message.

Secure fine timing measurement exchange

Methods, systems, and devices for wireless communication are described. An access point (AP) transmits instructions to quiet a dynamic frequency selection (DFS) home channel for a period of time. Instructions can include a quiet information element (IE) or a clear-to-send to self (CTS2Self) frame. The AP then allocates a first dedicated RF chain to a first media access control (MAC) component and a second dedicated RF chain, separate from the first dedicated RF chain, to a second MAC component of the access point. The allocation can include reducing the number of RF chains dedicated to the first MAC component. During the time period determined by the instructions, the first dedicated RF chain scans the home DFS channel and the second dedicated RF chain scans at least one other channel (e.g., based at least in part on the time period and channel scan priority) in the same band as the DFS home channel.

Wi-Fi scan operation on a dynamic frequency selection master dual band simultaneous device

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