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

LBPS: Load-Based Power Saving in the IEEE 802.16e Network

Named data networking (NDN) has emerged as a promising communication paradigm, proposed to deal with the shortcomings of the traditional IP‐based model. NDN introduces new name‐based routing, receiver‐based service, caching, and self‐certifying contents features that obviously improve data delivery efficiency and reliability. Moreover, NDN offers lightweight forwarding rules that suits constrained devices. These features makes NDN as highly promising communication model for the Internet of Things (IoT). On the other hand, one of the widely adopted networking specification for IoT is the IEEE 802.15.4 standard. This latter proposes interesting energy saving functionalities. To take full advantages of the two technologies, we propose an NDN over IEEE 802.15.4 communication solution that meets the requirements of low‐data rate and low‐power‐consumption monitor and control IoT applications. The proposed solution includes two modules: a reliable energy‐aware forwarding strategy that selects the next hop forwarder based on its residual energy level and a sleep mode scheduling algorithm that schedules the sleep/wake‐up mode according to the role of the node in the forwarding and the path repair processes. Extensive simulations and analyses have been conducted to confirm the viability and effectiveness of our proposal in terms of energy consumption, network lifetime, delivery ratio, retrieval delay, and scalability.

Named Data Networking-based communication model for Internet of Things using energy aware forwarding strategy and smart sleep mode

Previous works in IEEE 802.16e power saving mainly focused on standard Type I or Type II power saving class. The limitation of adopting Type I or Type II is discussed in the paper, and the idea of Load-Based Power Saving (LBPS) is proposed. The base station in LBPS measures the traffic load and estimates the sleep window size for mobile subscriber stations by setting a threshold for data accumulation. A basic version of LBPS, LBPS-Aggr, is presented in the paper, in which all of the traffic in the network is treated as a single aggregate flow in estimation of the sleep window size. Adopting the idea of group splitting or merging in sleep schedule, two enhanced versions namely LBPS-Split and LBPS-Merge are proposed. Simulation results demonstrate that better power saving efficiency can be achieved by pro

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LBPS: Load-Based Power Saving in the IEEE 802.16e Network q,qq,qqq

Power consumption and network lifetime optimization is an essential performance objective for the IoT networks. Since the devices in this type of networks are mostly battery powered with a limited battery life, energy saving strategies becomes vital for such systems operation. Typically, the standard sleep mode of the 802.15.4 protocol is used in order to reduce the power usage of the sensors in an IoT network. However, enabling the sleep mode function in an IoT device that utilizes the Named Data Networking (NDN) paradigm is challenging. In this paper, we propose a power saving extension for the Geographic Interest Forwarding (GIF) protocol. In the proposed E-GIF scheme, a cross-layer approach is used, which allows direct communication between protocols at nonadjacent layers. More precisely, the interactions between the MAC and the Routing layers are fully exploited in order to integrate the sleep mode into the forwarding decision of the sensor nodes that uses the NDN protocol stack. To validate the proposed scheme, we extend the ndnSIM simulator to support wireless multihop communication. Simulation experiments confirm the viability and the effectiveness of the proposal.

Power Saving Extension for the NDN-Based GIF Protocol for the Internet of Things

To enhance the power efficiency of broadband wireless access devices based on battery power, an adaptive power saving strategies based on cross-layer design i s proposed for IEEE 802.16e sleep-mode operation . In this paper, we evaluate performance of the power-saving mechanism based on sleep mode in IEEE 802.16e mobile Worldwide Interoperability for Microwave Access (WiMAX) system, which is based on time scheme to trigger transition from awake mode to sleep mode and a sleep window to next sleep window. After being idle for a period of time, a design time parameter to overcome the flaw of power efficiency drop with the short time sleep, mobile station switch to sleep mode for the first sleep interval defined by initial sleep window, which dynamically tune according to the statistical measurement of traffic load from physical layer . By analyzing the behaviors of a mobile station working in the sleep-mode operation with a Markov chain model and explori ng the relationship among traffic, energy consumption and mean delay of power saving mechanism based on cross-layer design , a heuristic algorithm is proposed to adapt the parameters of sleep -mode mechanism to the mobile station traffic and the mean delay requirement. Extensive simulation results show that the proposed algorithm outperforms the traditional power saving mechanisms in both the power consumption and the mean delay.

Jianbin Xue

Papers

An Adaptive Power Saving Strategies based on Cross-layer Design in IEEE 802.16e