Heterogeneous HEED Protocol for Wireless Sensor Networks

One of the important protocols for increasing the network lifetime in wireless sensor networks (WSNs) is hybrid energy efficient distributed (HEED) protocol. This protocol considers two parameters for deciding the cluster heads, i.e., residual energy and node density and has been designed for the homogeneous WSNs. In this paper, we consider the implementation of HEED for a heterogeneous network. Depending upon the type of nodes, it defines one-level, two-level, and three-level heterogeneity and accordingly the implementation of HEED is referred to as hetHEED-1, hetHEED-2, and hetHEED-3, respectively. We also consider one more parameter, i.e., distance and apply fuzzy logic to determine the cluster heads and accordingly the hetHEED-1, hetHEED-2, and hetHEED-3 are named as HEED-FL, hetHEED-FL-2, hetHEED-FL-3, respectively. The simulation results show that as the level of heterogeneity increases in the network, the nodes remain alive for longer time and the rate of energy dissipation decreases. And also, increasing the heterogeneity level helps sending more packets to the base station and increases the network lifetime. The increase in the network energy increases the network lifetime manifold. In fact, using fuzzy logic, the network lifetime increases by 114.85 % that of the original HEED without any increase in the network energy. Thus, the hetHEED-FL-3 provides the longest lifetime (387.94 % increase) in lifetime at the cost of 19 % increase in network energy), sends maximum number of packets to the base station, and has minimum rate of energy dissipation.     

A Cost Function Model for CRRM over Heterogeneous Wireless Networks

Heterogeneous cellular networks performance is usually analysed by taking several Key Performance Indicators (KPIs) into account, their proper balance being required in order to guarantee a desired Quality of Service (QoS). An approach to simplify and integrate a set of KPIs into a single one is presented, by using the proposed Cost Function model that includes these KPIs, providing a single evaluation parameter as output, and reflecting network conditions and Common Radio Resource Management (CRRM) strategies performance. This paper proposes a Cost Function that enables the implementation of different CRRM algorithms and policies, by manipulating KPIs according to user’s or operator’s perspectives, allowing for a better QoS. Results show that different policies can in fact be established, with a different impact on the network, e.g., with median values ranging by a factor higher than two.     

A Kerberized Architecture for Fast Re-authentication in Heterogeneous Wireless Networks

In this paper we present an architecture for fast re-authentication, based on the use of the Kerberos protocol, which allows the reduction in the latency introduced for an authentication process based on the Extensible Authentication Protocol (EAP) when providing network access in mobile networks. The architecture supports two modes of operation, proactive and reactive, to reduce the latency added for the authentication processes which is required when a mobile user changes network points of attachment. Moreover, we provide implementation details on a representative wireless testbed and obtain experimental results from the testbed. Those results are used for simulations to evaluate the performance of the proposed architecture for different deployment scenarios and parameters. We also provide a mathematical analysis to compute authentication delay and validate the simulation results. Performance comparison based on the experiment, simulation and analysis show that the proposed architecture can reduce the authentication delay, compared to other alternatives in typical deployment scenarios.     

Gateway Placement for Throughput Optimization in Wireless Mesh Networks

In this paper, we address the problem of gateway placement for throughput optimization in multi-hop wireless mesh networks. Assume that each mesh node in the mesh network has a traffic demand. Given the number of gateways to be deployed (denoted by k) and the interference model in the network, we study where to place exactly k gateways in the mesh network such that the total throughput is maximized while it also ensures a certain fairness among all mesh nodes. We propose a novel grid-based gateway deployment method using a cross-layer throughput optimization, and prove that the achieved throughput by our method is a constant times of the optimal. Simulation results demonstrate that our method can effectively exploit the available resources and perform much better than random and fixed deployment methods. In addition, the proposed method can also be extended to work with multi-channel and multi-radio mesh networks under different interference models.     

异构环境下基于3GPP的M2M业务分流算法(英文)

In this study,an explicit adaptive traffic allocation scheme for Machine-to-Machine(M2M)service is proposed to achieve optimum distribution in heterogeneous networks.Based on the characteristics of M2M services,the presented scheme is formulated as a convex optimization problem that maximises the utility of the M2M service,and then determines how to allocate the total rate among the multiple access networks.The analysis and numerical simulations indicate that the proposed scheme makes a significant improvement in performance compared with the traditional schemes.     

异构无线网络的自组织功能及其演进

随着无线网络的不断发展、多层次多制式的异构网络部署逐渐成为热点。针对异构网络中出现的资源受限、运维困难等问题,文章研究了通过网络自组织技术实施的解决方案,并探讨了异构网中自组织技术未来的发展趋势。     

UDS: A Distributed RAT Selection Mechanism for Heterogeneous Wireless Networks

The selection of the most suitable radio access technology to serve as the communication means for a service in a heterogeneous wireless access network is a complex task. It considers a number of different parameters and it involves numerous network technologies and entities. Several mechanisms have been proposed that focus on different aspects and follow different strategies. We introduce a policy based scheme that takes into consideration the user preferences, along with network conditions and user moving speed. Its ultimate goal is to support a session through the most desirable radio access technology, from the user perspective, while managing the overall network resources in an optimum way. It comprises a distributed algorithm running at the terminal and the network side. The performance of the proposed mechanism is evaluated against that of a typical load balancing scheme, commonly used in the literature. The results show that the holistic treatment of the diverse parameters fulfils the aforementioned goal.     

A Framework for Seamless Roaming Across Heterogeneous Next Generation Wireless Networks

In the future, wireless and mobile users will have increased demands for seamless roaming across different types of wireless networks, quality of service guarantees and support of different types of services. This awareness has led to research activities directed towards inter-system and global roaming and can be noticed in the numerous products like multimode handsets, inter-working gateways and some ongoing standards and research work on signaling protocols for inter-system roaming. This article proposes a global mobility management framework. The framework is like an overlay network comprising of Inter-System Interface Control Units IICU to support inter-network communication and control for Location Management. The protocols and functions of this framework will be distributed and exist partly within the wireless networks and partly within the core-network. A hierarchy introduced among the IICUs will accommodate for the varying mobility coverage required by the mobile user. The IICU may be configured to perform various functions depending on its placement in the hierarchy of the framework. This approach aims to optimize across call set up delays, signaling traffic, database processing, handoff facilitation for seamless roaming and QoS mapping and negotiations as the user moves across different wireless networks. It avoids centralized database dependency with its associated single-point bottleneck and failures. We restrict our analysis of the framework to a 2-network and a 3-network roaming scenario. The presentation has been further restricted to cost and delay analysis of the location update and call delivery procedures. We have taken into account the signalling requirements when the mobile user roams across networks with and without an active call. Nirmala Shenoy is Associate Professor at the Information Technology department at RIT. She has several years of teaching and research experience while working in Germany, Singapore and Australia before she moved to USA. She is an avid researcher in the wireless networks area and has technically led several wireless network projects to success. She holds a Ph.D. in computer science from the University of Bremen, Germany, Masters in Applied Electronics and Bachelors in Electronics and Telecommunications Engineering both from Madras University in India. Professor Shenoy is interested in research in the area mobility management and modeling for wireless networks, Quality of service in wireless networks and the Internet.     

Location-Aided Handover in Heterogeneous Wireless Networks

The concept of being always online, regardless of the time and place, has been one of the hot topics in the commercial and scientific forums during the last years. The term itself is not solidly defined, however it is often used to refer to user's ability to get the same services via changing variety of underlying networks. In order to really work, this kind of multiaccess in heterogeneous networks still requires research, technological achievements and even compromises. The key to successfully implement the multiaccess is vertical handover that allows the application services to be seamlessly transferred between different networks.     

A Novel Gateway Selection Technique for Throughput Optimization in Configurable Wireless Mesh Networks

Wireless mesh networks (WMNs) have attracted much attention due to their low up-front cost, easy network deployment, stable topology, robustness, reliable coverage, and so forth. These advantages are suitable for the disaster recovery applications in disaster areas, where WMNs can be advantageously utilized to restore network collapse after the disaster. In this paper, based on a new network infrastructure for WMNs, to guarantee high network performance, we focus on the issue of throughput optimization to improve the performance for WMNs. Owing to selecting different mesh router (MR) as the gateway will lead to different network throughput capacity, we propose a novel gateway selection technique to rapidly select the optimal MR as the gateway, in order to maximize the network throughput. In addition, we take into account the traffic distribution for the MR to eliminate traffic congestion in our method. The performance of our proposed method is evaluated by both numerical and simulated analysis. The simulation results demonstrate that the gateway selection method is effective and efficient to optimize the throughput for WMNs.     

无线异构网络的垂直切换算法研究

以通用移动通信系统(UMTS)与无线局域网(WLAN)融合为例,研究无线异构网络的垂直切换算法。由于垂直切换算法应考虑因素的复杂性以及不同网络性能的各异性,有必要对现有算法作出归纳总结比较,并据此提出新的垂直切换算法。该算法以代价函数为基础,将稳定周期与切换目标网络和当前服务网络的效用函数联系起来,实现移动节点自适应的切换判决。提出的算法能有效减少不必要的切换,增强异构网络的适应性。     

异构无线网络的自适应垂直切换判决算法

在未来的异构环境中,网络间的垂直切换将对QoS保证产生重要影响。针对移动终端在异构网络间切换不理想的问题,提出了一种自适应的垂直切换判决算法。采用基于用户多应用的代价函数对接入网络进行评估与选择,综合考虑移动终端当前的电池电量,判断当前业务是否需要进行网络切换,使移动终端能自适应地进行切换判决。仿真结果表明,该算法可以有效地延长移动终端的工作时间,减少乒乓效应,提高系统的切换性能,改善业务的QoS。     

无线异构网络的垂直切换判决算法

传统上的水平切换处理方法已经应用在同一接入技术的网络中（如无线蜂窝网络）。随着多种异构无线网络的出现,下一代网络必须支持垂直切换技术以保证用户从一个网络切换到内一个网络时仍然保持连接,垂直切换作为多网融合的基础,受到了学术界和工业界的广泛关注。对使用层次分析法进行垂直切换技术的工作原理及应用环境进行了分析,提出同时使用多种切换技术以解决不同环境下的切换问题。     

A Simple and Robust Vertical Handoff Algorithm for Heterogeneous Wireless Mobile Networks

Wireless networking is becoming an increasingly important and popular way of providing global information access to users on the move. One of the main challenges for seamless mobility is the availability of simple and robust vertical handoff algorithms, which allow a mobile node to roam among heterogeneous wireless networks. In this paper, motivated by the facts that vertical handoff procedure is done on mobile nodes and battery power may be one crucial parameter for certain mobile nodes, a simple and robust two-step vertical handoff decision algorithm is proposed for heterogeneous wireless mobile networks. To the best of our knowledge, this is the first vertical handoff algorithm that takes the classification of mobile nodes into consideration, one is resource-poor mobile nodes, and the other is resource-rich mobile nodes. This new feature makes it more applicable in the real world. In addition, dynamic new call blocking probability is firstly introduced by this paper to make handoff decision for wireless networks. The experiment results have shown that the proposed algorithm outperforms traditional algorithms in bandwidth utilization, handoff dropping rate and handoff rate.     

An Autonomic QoS-centric Architecture for Integrated Heterogeneous Wireless Networks

In this paper the problem of seamless mobility and proficient joint radio resource management over an all-IP internetworked wireless heterogeneous environment is addressed. Nodes’ autonomicity is envisioned as the enabler to devise a Quality of Service (QoS) aware architecture for supporting a variety of services, founded on a common utility based framework that provides enhanced flexibility in reflecting different access networks’ type of resources and diverse QoS prerequisites, under a unified QoS-aware resource allocation optimization problem. This allows a more in-depth intrinsic wireless network convergence, beyond All-IP, driven by QoS-oriented resource management. This vision is demonstrated and instantiated for integrated WLAN and cellular (both CDMA and OFDMA) networks, providing a viable path towards the evolution and realization of the future wireless networking paradigm. Initial numerical results demonstrate the effectiveness of the proposed architecture and reveal the benefits of such a service oriented paradigm against other existing access oriented autonomic designs.     

基于抽样估计的能量异构无线传感器网络分簇算法

提出一种基于抽样估计的能量异构无线传感器网络分簇算法.采取对网络中节点抽样的办法估计出网络中的平均剩余能量,节点根据剩余能量与网络平均能量的比例来进行簇首竞争,使簇首选择更加合理.仿真实验表明:该算法可以更好地实现负载均衡,延长的网络生存时间.     

Terminal-Controlled Mobility Management in Heterogeneous Wireless Networks

The coexistence of multiple access technologies deployed by different operators is fundamental for future fourth-generation mobile networks. In spite of this heterogeneity, seamless interoperator/intersystem mobility is a mandatory requirement. In this article we present a seamless mobility management approach that does not require changes to existing network infrastructure. The novelty of the proposed approach is that mobility management is fully controlled by the terminal, and network selection is user-centric, power-saving, cost-aware, and performance-aware. Total mobility management, including interface management, handover decision, and execution, is also detailed     

Enabling Intelligent Handovers in Heterogeneous Wireless Networks

In the future Wireless Internet, mobile nodes will be able to choose between providers offering competing services at a much finer granularity than we find today. Rather than months, service contracts may span hours or minutes. Connectivity, however, is just one of many possible services. Providers will begin to offer network and application-level services targeted at improving the overall wireless experience of the user. Determining the best path through the various networks will require accurate information describing which services are being offered by each provider. In this paper, we model the process of propagating this information as an instance of a distributed, hierarchical cache. Access routers actively discover and collect information about the immediate network neighborhood on behalf of mobile nodes. Mobiles fill their own caches through queries to their local access routers, and then employ the cached information to make informed, intelligent handover decisions. Through simulation, we show that high cache hit rates at the mobile node can be achieved even when the discovery process at the access router is incomplete. In comparison to static and centralized approaches, our dynamic approach requires less configuration and maintenance, avoids single points of failure, and provides a scalable solution that spans administrative domains. Robert C. Chalmers received his B.S. in Computer Science from the California State Polytechnic University, Pomona in 1997, and his M.S. in 2003 from the University of California in Santa Barbara. He is currently a Ph.D. candidate at the University of California in Santa Barbara where his main research interests focus around leveraging intelligence within the network. Particularly, he has studied multicast and its effect on resource utilization, as well as how to provide services for small, mobile devices in edge networks. He was awarded the Ericsson Fellowship in 2001 and is currently a Eugene Cota-Robles Fellow. Govind Krishnamurthi received an M.S. (Electrical Engineering) and Ph.D. degree (Computer Engineering) from the University of Washington and the Iowa State University, in 1997 and 1999 respectively. He spent the summer of 1995 as an intern at Bellcore, Morristown, NJ. He is a recipient of the Research Excellence Award from the Iowa State University for his Ph.D. thesis. Since the summer of 1999 he has been a Senior Research Engineer at the Nokia Research Center, Boston, MA. He has authored several publications and holds 3 patents. His current interests deal with QoS, location based services and security issues in IP based wireless networks. Kevin C. Almeroth earned his Ph.D. in Computer Science from the Georgia Institute of Technology in 1997. He is currently an associate professor at the University of California in Santa Barbara where his main research interests include computer networks and protocols, multicast communication, large-scale multimedia systems, and performance evaluation. At UCSB, Dr. Almeroth is a founding member of the Media Arts and Technology Program (MATP), Associate Director of the Center for Information Technology and Society (CITS), and on the Executive Committee for the University of California Digital Media Innovation (DiMI) program. In the research community, Dr. Almeroth is on the Editorial Board of IEEE Network, has co-chaired NGC 2000, Global Internet 2001, NOSSDAV 2002, and MMNS 2002; has served as tutorial chair for several conferences, and has been on the program committee of numerous conferences. Dr. Almeroth is serving as the chair of the Internet2 Working Group on Multicast, and is a member of the IETF Multicast Directorate (MADDOGS). He is also serving on the advisory boards of several startups including Occam Networks, NCast, Hidden Footprint, and the Santa Barbara Technology Incubator.