EMRP: Evolutionary-based multi-hop routing protocol for wireless body area networks

Routing is one of the main challenges in designing wireless body area networks. Existing routing protocols exhibit some drawbacks for practical networks: First, insufficient criteria (e.g., only energy or distance) are used to select the forwarder nodes. Second, controllable parameters of the protocol are determined manually and no automatic tuning is used. Third, the protocol is not adjusted and optimized based on application specifications. In order to overcome the mentioned drawbacks, an adaptive Evolutionary Multi-hop Routing Protocol (named EMRP) is proposed in this paper. We introduce a multi-objective function based on energy level, distance, estimated path loss and estimated energy consumption for selecting optimal forwarder nodes. The proposed objective function aims to select forwarder nodes with high energy, low communication distance, low path loss and low energy consumption. The controllable parameters of EMRP can be adaptively optimized based on application specifications via genetic algorithm. Simulation results show a significant improvement than the existing technologies in terms of lifetime, path loss, throughput, and energy consumption.     

A data privacy protective mechanism for wireless body area networks

As an important branch of wireless sensor networks, wireless body area networks (WBAN) has attracted widespread attention in various fields because of its portability and mobility. However, because much of the data collected by WBAN are related to personal information of the user, the sensitive private data may be at risk of leakage or malicious modification in the actual process of application and deployment. In order to assure the security and privacy of user's data in the environment of WBAN, this paper presents a Data Privacy Protective Mechanism for WBAN. In order to secure data and secure transmission, this mechanism combines symmetric key with an asymmetric key to transmit user's data. Then, it cuts and reorganizes the data in the process of transmission to better capture defense and the attacks of the nodes. Ultimately transmits the user's data securely under the condition that the data collected by the nodes are confidential and secure. Copyright © 2015 John Wiley & Sons, Ltd.     

一种新型的能量受限无线体域网路由协议

针对无线体域网这种新型的应用场景,设计了一种新型的能量受限无线体域网路由协议EE-DSR。该协议在DSR路由基础上,综合考虑了无线体域网中信道变化、节点业务类型和节点服务时间等特殊应用,有效地节省了网络传输的能量消耗,从而较好地延长了网络生存期。     

A novel nest-based scheduling method for mobile wireless body area networks

Wireless Body Area Networks (WBANs) comprise various sensors to monitor and collect various vital signals, such as blood pressure, pulse, heartbeat, body temperature, and blood sugar. A dense and mobile WBAN often suffers from interference, which causes serious problems, such as wasting energy and degrading throughput. In reality, not all of the sensors in WBAN need to be active at the same time. Therefore, they can be divided into different groups so that each group works in turn to avoid interference. In this paper, a Nest-Based WBAN Scheduling (NBWS) algorithm is proposed to cluster sensors of the same types in a single or multiple WBANs into different groups to avoid interference. Particularly, we borrow the graph coloring theory to schedule all groups to work using a Time Division for Multimodal Sensor (TDMS) group scheduling model. Both theoretical analysis and experimental results demonstrate that the proposed NBWS algorithm performs better in terms of frequency of collisions, transmission delay, system throughput, and energy consumption compared to the counterpart methods.     

Transmission power control and scheduling algorithm in wireless body area networks

Wireless body area networks(WBAN)were expecting to play an essential role for healthcare,sports,leisure,and all the aspect of our daily life.The purpose was to solve two key issues of WBAN.The first issue was which sensor should transmit during each time slot in order to maximize the lifetime as well as maintaining fairness performance.The second issue was which transmit power level should be chosen for the purpose of energy saving without degrading reliability.For the first problem,a distributed scheduling algorithm was proposed to balance lifetime and fairness for WBAN.For the second issue,a modified transmission power control algorithm was presented to adjust transmit power adaptively.Simulation results are presented to demonstrated efficacy of the proposed algorithm.     

无线体域网低复杂度重复码解扩频方法研究

为了提高数据传输的可靠性,降低窄带接收机的复杂度,无线体域网标准IEEE 802.15.6采用了基于重复码的扩频方法。通过设计一种根据动态阈值选择性进行量度运算的解扩频结构,并结合硬判决阈值特性利用简化的最大比合并以及广义最小距离原理,提出了硬阈值—合并法和硬阈值—删除法,计算复杂度较小,同时解扩频性能近似最优。理论分析及仿真结果表明,与基于最大似然方法的解扩频相比,其扩频增益接近理论值,在高信噪比环境下,计算复杂度可降低86%以上。     

A game theory-based approach for the study of inter-interference in coexisting wireless body area networks

A wireless body area network (WBAN) enables the continuous monitoring of health conditions including heart rate, temperature, and glucose levels. It is composed of several sensors that are placed on the body. The network's performance is significantly affected by the unpredictable movements of the human body. Due to the varying proximities between them, the existence of several WBANs creates a challenge when mobility is involved. In this fictitious scenario, we consider a park area with both mobile and static WBANs or WBAN-equipped individuals passing through the park who have varying degrees of mobility. When a mobile WBAN passes a static WBAN and is within a minimum distance of the static WBAN, they pair up and immediately interfere. Inter-interference caused by WBANs operating in a limited area causes packet loss and performance deterioration. In this work, static WBAN locations are optimised to minimise interference and system inter-interference problems are addressed by a game theoretic method. This paper formulates a flexible game theoretic framework to study WBAN coexistence using the expected pay-off function considering a two-player game. It is observed from the results obtained that the probability of interference caused by fast mobile WBANs is reduced to a maximum of 50% compared with that caused by slow mobile WBANs thereby reducing the need for relocation of static WBANs.     

Joint offloading strategy based on quantum particle swarm optimization for MEC-enabled vehicular networks

With the development of the mobile communication technology, a wide variety of envisioned intelligent transportation systems have emerged and put forward more stringent requirements for vehicular communications. Most of computation-intensive and power-hungry applications result in a large amount of energy consumption and computation costs, which bring great challenges to the on-board system. It is necessary to exploit traffic offloading and scheduling in vehicular networks to ensure the Quality of Experience (QoE). In this paper, a joint offloading strategy based on quantum particle swarm optimization for the Mobile Edge Computing (MEC) enabled vehicular networks is presented. To minimize the delay cost and energy consumption, a task execution optimization model is formulated to assign the task to the available service nodes, which includes the service vehicles and the nearby Road Side Units (RSUs). For the task offloading process via Vehicle to Vehicle (V2V) communication, a vehicle selection algorithm is introduced to obtain an optimal offloading decision sequence. Next, an improved quantum particle swarm optimization algorithm for joint offloading is proposed to optimize the task delay and energy consumption. To maintain the diversity of the population, the crossover operator is introduced to exchange information among individuals. Besides, the crossover probability is defined to improve the search ability and convergence speed of the algorithm. Meanwhile, an adaptive shrinkage expansion factor is designed to improve the local search accuracy in the later iterations. Simulation results show that the proposed joint offloading strategy can effectively reduce the system overhead and the task completion delay under different system parameters.     

Distributed trajectory design for data gathering using mobile sink in wireless sensor networks

Several studies have demonstrated the benefits of using a mobile sink (MS) to reduce energy consumption resulting from multi-hop data collection using a static sink in wireless sensor networks (WSNs). However, using MS may increase data delivery latency as it needs to visit each sensor node in the network to collect data. This is a critical issue in delay-sensitive applications where all sensed data must be gathered within a given time constraint. In this paper, we propose a distributed data gathering protocol utilizing MS for WSNs. The proposed protocol designs a trajectory for the MS, which minimizes energy consumption and delay. Our protocol operates in four main phases: data sensing, rendezvous point (RP) selection, trajectory design, and data gathering. In data sensing, a number of deployed sensor nodes keep sensing the target field for a specific period of time to capture events. Then, using a cluster-based RP selection algorithm, some sensor nodes are selected to become RPs based on local information. The selected RPs are then used to determine a trajectory for the MS. To do so, we propose three trajectory design algorithms that support different types of applications, namely reduced energy path (REP), reduced delay path (RDP), and delay bound path (DBP). The MS moves through the constructed path to accomplish its data gathering according to an effective scheduling technique that is introduced in this work. We validate the proposed protocol via extensive simulations over several metrics such as energy, delay, and time complexity.     

基于网络编码的无线体域网多中继协作节能策略

针对无线体域网中传输链路存在中断情况从而消耗额外能量的问题,在多源多中继系统模型中引入网络编码,提出一种基于网络编码多中继协作算法,并分析了该算法下系统的网络能耗,推导出系统的每比特网络整体能耗公式。仿真结果表明:该算法与传统的多路径多中继转发算法相比,可以较大程度的减少网络的整体能耗,适当地增加信源节点或者减少中继节点的数目对降低网络的整体能耗也有一定的作用。该算法能减少多源多中继网络的整体能耗,延长网络的生命周期。     

基于网络编码和ECC的无线体域网安全签名方案

针对无线体域网( WBAN)应用中人们关注的病患个人敏感数据在传输过程中容易受到攻击的安全问题,提出一种结合随机网络编码和椭圆曲线密码学( ECC)的安全签名方案。该方案首先在网络中引入随机网络编码建立多播网络模型,增加相同传输次数下的数据信息量;通过采用ECC算法对信息进行签名,保障病患相关生理信息的通信安全。该方案共有三个阶段,即创建、签名和验证阶段。理论证明了该方案是安全的,能够有效地对信息进行污染验证,并确定受攻击节点的位置。     

Improving energy efficiency of incremental relay based cooperative communications in wireless body area networks

In this paper, we investigate the energy efficiency of an incremental relay based cooperative communication scheme in wireless body area networks (WBANs). We derive analytical expressions for the energy efficiency of direct and cooperative communication schemes taking into account the effect of packet error rate. The following communication scenarios specific to a WBAN are considered: (i) in‐body communication between an implant sensor node and the gateway, and (ii) on‐body communication between a body surface node and the gateway with line‐of‐sight (LOS) and non‐LOS channels. The results reveal a threshold behavior that separates regions where direct transmission is better from regions where incremental relay cooperation is more useful in terms of energy efficiency. It is observed that, compared with direct communication, incremental relay based cooperative communication schemes improves the energy efficiency significantly. Further, cooperation extends the source‐to‐destination hop length over, which energy efficient communication can be achieved as compared with direct communication. We also observe that, for both direct as well as cooperative transmission schemes in error prone channels, an optimal packet size exists that result in maximum energy efficiency. Copyright © 2013 John Wiley & Sons, Ltd.     

车联网场景下移动边缘计算协作式资源分配策略

为了有效利用边缘云的计算资源,尽可能降低任务卸载时的平均等待时延,提出了一种满足边缘计算服务器容限阈值和任务卸载成功率约束条件下的多个边缘计算服务器相互协作的资源分配方案,通过单位时间总代价指标优化边缘计算服务器个数.将此方案建模为一个整数优化问题,之后设计了一种最小代价算法求解此优化问题,得到约束条件下的单位时间总代...     

一种能量平衡的无线体域网络AODV多播路由发现协议

在动态网络拓扑中,AODV协议通过数据源节点S泛洪广播RREQ消息请求到任意目标节点D的路由,而在无线体域网络中,只有一个sink目标节点,除最短跳数路由上的节点外,其他参与RREQ接收和转发的节点浪费了能量。提出了一种能量平衡的无线体域网络AODV多播路由发现协议,通过在节点广播的hello消息中增加到sink的最小跳数hops、到sink的下一跳节点next和节点本身是否具备转发能力isforward 3 个参数,只选择能到达sink节点的邻居节点参与转发RREQ消息,变广播为多播,有效地降低了路由发现的能量开销,并通过能量平衡延长了WBAN的使用寿命。性能分析与模拟实验表明,该协议在RREQ数量、数据传输率和能量消耗等方面优于相似协议EAAODV。     

Energy-efficient task offloading strategy in mobile edge computing for resource-intensive mobile applications

Mobile Edge Computing (MEC) has been considered a promising solution that can address capacity and performance challenges in legacy systems such as Mobile Cloud Computing (MCC). In particular, such challenges include intolerable delay, congestion in the core network, insufficient Quality of Experience (QoE), high cost of resource utility, such as energy and bandwidth. The aforementioned challenges originate from limited resources in mobile devices, the multi-hop connection between end-users and the cloud, high pressure from computation-intensive and delay-critical applications. Considering the limited resource setting at the MEC, improving the efficiency of task offloading in terms of both energy and delay in MEC applications is an important and urgent problem to be solved. In this paper, the key objective is to propose a task offloading scheme that minimizes the overall energy consumption along with satisfying capacity and delay requirements. Thus, we propose a MEC-assisted energy-efficient task offloading scheme that leverages the cooperative MEC framework. To achieve energy efficiency, we propose a novel hybrid approach established based on Particle Swarm Optimization (PSO) and Grey Wolf Optimizer (GWO) to solve the optimization problem. The proposed approach considers efficient resource allocation such as sub-carriers, power, and bandwidth for offloading to guarantee minimum energy consumption. The simulation results demonstrate that the proposed strategy is computational-efficient compared to benchmark methods. Moreover, it improves energy utilization, energy gain, response delay, and offloading utility.     

穿戴式超宽带接收机误码率性能分析

为研究不同接收机的架构、收发天线的角度和判决方式对穿戴式超宽带( UWB )信道RAKE接收机误码率( BER)的影响,利用数字抽样示波器获取时域接收信号,使用CLEAN算法去卷积,得到体表-体表和体表-体外环境下人体信道冲激响应;并采用不同结构不同分支数的RAKE接收机对含有加性高斯噪声的跳时信号进行接收,以分析其对BER的影响。仿真结果表明,包含所有分支的RAKE接收机BER最低但结构复杂;在相同分支数下,包含部分分支的RAKE接收机的BER损失要比选择性RAKE接收机高3 dB,但复杂度较低。对收发天线不同角度的研究表明,收发天线应避免垂直,否则体表反射作用带来的多径分量增多,容易出现码间干扰,从而增加BER。在重复编码情况下,软判决的BER性能要优于硬判决0.2~0.4 dB。该信道模型和误码率分析研究可对穿戴式UWB收发机的架构设计和性能研究提供参考。     

Distributed cross‐layer optimization for wireless regional area network‐based cognitive radio networks

This paper presents a study of a cross‐layer design through joint optimization of spectrum allocation and power control for cognitive radio networks (CRNs). The spectrum of interest is divided into independent channels licensed to a set of primary users (PUs). The secondary users are activated only if the transmissions do not cause excessive interference to PUs. In particular, this paper studies the downlink channel assignment and power control in a CRN with the coexistence of PUs and secondary users. The objective was to maximize the total throughput of a CRN. A mathematical model is presented and subsequently formulated as a binary integer programming problem, which belongs to the class of non‐deterministic polynomial‐time hard problems. Subsequently, we develop a distributed algorithm to obtain sub‐optimal results with lower computational complexity. The distributed algorithm iteratively improves the network throughput, which consists of several modules including maximum power calculation, excluded channel sets recording, base station throughput estimation, base station sorting, and channel usage implementation. Through investigating the impacts of the different parameters, simulation results demonstrates that the distributed algorithm can achieve a better performance than two other schemes. Copyright © 2011 John Wiley & Sons, Ltd.     

Nodes organization for channel assignment with topology preservation in multi-radio wireless mesh networks

The wireless mesh network is a new emerging broadband technology providing the last-mile Internet access for mobile users by exploiting the advantage of multiple radios and multiple channels. The throughput improvement of the network relies heavily on the utilizing the orthogonal channels. However, an improper channel assignment scheme may lead to network partition or links failure. In this paper we consider the assignment strategy with topology preservation by organizing the mesh nodes with available channels, and aim at minimizing the co-channel interference in the network. The channel assignment with the topology preservation is proved to be NP-hard and to find the optimized solution in polynomial time is impossible. We have formulated a channel assignment algorithm named as DPSO-CA which is based on the discrete particle swarm optimization and can be used to find the approximate optimized solution. We have shown that our algorithm can be easily extended to the case with uneven traffic load in the network. The impact of radio utilization during the channel assignment process is discussed too. Extensive simulation results have demonstrated that our algorithm has good performance in both dense and sparse networks compared with related works.     

Design of a lightweight and anonymous authenticated key agreement protocol for wireless body area networks

Wireless body area networks (WBANs) are a network designed to gather critical information about the physical conditions of patients and to exchange this information. WBANs are prone to attacks, more than other networks, because of their mobility and the public channel they use. Therefore, mutual authentication and privacy protection are critical for WBANs to prevent attackers from accessing confidential information of patients and executing undetectable physical attacks. In addition, in the authentication and key agreement process, messages should be transferred anonymously such that they are not linkable. In this paper, we first indicate that one of the most recently introduced authentication protocol is vulnerable to the wrong session key agreement attack and desynchronization attack. Second, we propose a lightweight authentication and key agreement protocol, which can withstand the well‐known attacks and provide the anonymity feature. Eventually, we analyze the security of our proposed protocol using both Automated Validation of Internet Security Protocols and Applications (AVISPA) and random oracle model and compare its performance with the related works. The results demonstrate the superiority of our proposed protocol in comparison with the other protocols.     

基于PSO的无线多媒体传感器网络覆盖增强算法

在无线多媒体传感器网络(Wireless Multimedia Sensor Networks,WMSNs)中,由于节点部署的不合理,往往存在较多的监控盲区,影响了网络的服务质量。为了提高网络的覆盖率,在有向感知模型基础的基础上,提出了一种基于粒子群算法的WMSNs覆盖增强算法PSOCE。PSOCE算法以网络覆盖率为优化目标,以粒子群算法为计算工具,同时对节点的位置与主感知方向进行调整。仿真试验表明,PSOCE算法能够有效地改进WMSNs的覆盖质量,网络的覆盖率能提高6%～12%。