This document provides updates to IEEE Std 802.16's MIB for the MAC, PHY and asso- ciated management procedures in order to accommodate recent extensions to the standard.

IEEE Standard for Local and Metropolitan Area Networks Part 16: Air Interface for Fixed Broadband Wireless Access Systems Draft Amendment: Management Information Base Extensions

The Internet of Things vision: Key features, applications and open issues

A review of smart homes-Present state and future challenges

In this paper we discuss a selection of promising and interesting research areas in the design of protocols and systems for wireless industrial communications. We have selected topics that have either emerged as hot topics in the industrial communications community in the last few years (like wireless sensor networks), or which could be worthwhile research topics in the next few years (for example cooperative diversity techniques for error control, cognitive radio/opportunistic spectrum access for mitigation of external interferences).

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Recent and Emerging Topics in Wireless Industrial Communications: A Selection

Primary objective: The study aim is to explore the perceptions and expectations of seniors in regard to 'smart home' technology installed and operated in their homes with the purpose of improving their quality of life and/or monitoring their health status. Research design and methods: Three focus group sessions were conducted within this pilot study to assess older adults' perceptions of the technology and ways they believe technology can improve their daily lives. Themes discussed in these groups included participants' perceptions of the usefulness of devices and sensors in health-related issues such as preventing or detecting falls, assisting with visual or hearing impairments, improving mobility, reducing isolation, managing medications, and monitoring of physiological parameters. The audiotapes were transcribed and a content analysis was performed. Results: A total of 15 older adults participated in three focus group sessions. Areas where advanced technologies would benefit older adult residents included emergency help, prevention and detection of falls, monitoring of physiological parameters, etc. Concerns were expressed about the user-friendliness of the devices, lack of human response and the need for training tailored to older learners. Conclusions: All participants had an overall positive attitude towards devices and sensors that can be installed in their homes in order to enhance their lives.

Older adults' attitudes towards and perceptions of ‘smart home’ technologies: a pilot study

In this paper, we present an industrial development of a wireless sensor network technology called OCARI: optimization of communication for ad hoc reliable industrial networks. It targets applications in harsh environments such as power plants and warships. OCARI is a wireless-communication technology that supports mesh topology and power-aware ad hoc routing protocol aimed at maximizing the network lifetime. It is based on IEEE 802.15.4 physical layer with deterministic media access control layer for time-constrained communication. During the nontime-constrained communication period, its ad hoc routing strategy uses an energy-aware optimized-link state-routing proactive protocol. An OCARI application layer (APL) is based on ZigBee application support sublayer and APL primitives and profiles to provide maximum compatibility with ZigBee applications. To fully assess this technology, extensive tests are done in industrial facilities at ElectricitEacute De France R&D as well as at Direction des Constructions Navales Services. Our objective is then to promote this specification as an open standard of industrial wireless technology.

Which Wireless Technology for Industrial Wireless Sensor Networks? The Development of OCARI Technology

Localization is a fundamental issue for many applications in wireless sensor networks. Without the need of additional ranging devices, the range-free localization technology is a cost-effective solution for low-cost indoor and outdoor wireless sensor networks. Among range-free algorithms, DV-hop (Distance Vector-hop) has the advantage to localize the mobile nodes which has less than three neighbour anchors. Based on the original DV-hop algorithm, this paper presents two improved algorithms (Checkout DV-hop and Selective 3-Anchor DV-hop). Checkout DV-hop algorithm estimates the mobile node position by using the nearest anchor, while Selective 3-Anchor DV-hop algorithm chooses the best 3 anchors to improve localization accuracy. Then, in order to implement these DV-hop based algorithms in network scenarios, a novel DV-hop localization protocol is proposed. This new protocol is presented in detail in this paper, including the format of data payloads, the improved collision reduction method E-CSMA/CA, as well as parameters used in deciding the end of each DV-hop step. Finally, using our localization protocol, we investigate the performance of typical DV-hop based algorithms in terms of localization accuracy, mobility, synchronization and overhead. Simulation results prove that Selective 3-Anchor DV-hop algorithm offers the best performance compared to Checkout DV-hop and the original DV-hop algorithm.

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Improvement of range-free localization technology by a novel DV-hop protocol in wireless sensor networks

Over the last few years, indoor localization has been a very dynamic research area that has drawn great attention Many methods have been proposed for indoor positioning as well as navigation services A big number of them were based on Radio frequency (RF) technology and Radio Signal Strength Indicator (RSSI) for their simplicity of use The main issues of the studies conducted in this field are related to the improvement of localization factors like accuracy, computational complexity, easiness of deployment and cost In our study, we used Bluetooth Low Energy (BLE) technology for indoor localization in the context of a smart home where an elderly person can be located using an hybrid system that combines radio, light and sound information In this paper, we propose a model that averages the received signal strength indication (RSSI) at any distance domain which offered accuracy down to 04 meters, depending on the deployment configuration

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BLE localization using RSSI measurements and iRingLA

The aim of this paper is, by a precise description of the different existing and developing wireless networks, to determine how all these networks may collaborate together. The example taken is WiMAX which has been able to examine advantages and weaknesses of existing WLAN in order to determine a specific application type. The confrontation of WiMAX and Wi-Fi characteristics will highlight evolutions in wireless networking and will give us keywords of what new networks are attended for.

Comparative analysis of new high data rate wireless communication technologies "From Wi-Fi to WiMAX"

Localization is a fundamental issue which is studied for many wireless networks applications like robotic networks. However, the existing range-free indoor localization algorithms haven't provided sufficient accuracy. In this paper, we propose a Selective 3- Anchor DV-hop algorithm with the following idea: the normal node first selects any three anchors to form a 3-anchor group, then it calculates the candidate positions based on each 3-anchor group, and finally according to the relation between candidate positions and the minimum hop counts to anchors, the normal node chooses the best candidate position. Simulation results show that our new algorithm achieves a better precision, compared with the existing relative algorithms.

Thierry Val

Papers

Which Wireless Technology for Industrial Wireless Sensor Networks? The Development of OCARI Technology

Improvement of range-free localization technology by a novel DV-hop protocol in wireless sensor networks

BLE localization using RSSI measurements and iRingLA

Comparative analysis of new high data rate wireless communication technologies "From Wi-Fi to WiMAX"

Improving Localization Accuracy Using Selective 3-Anchor DV-Hop Algorithm