Control Mechanisms for Heterogeneous Wireless Ad Hoc and Sensor Networks

城市环境中的无线通信受到来自外部源和共址网络的干扰的严重阻碍。在无线电无线网络中，对共享物理传输介质的访问必须被仲裁。 这说明即使当节点遵循相同的介质访问控制协议时，也会造成显著的延迟和吞吐量损失。处理外部（例如，来自电子设备）或来自具有不同介质访问协议的其他网络的干扰要困难得多。 随着物联网（IoT）的出现，这个问题将大大升级。 移动性通过创建可导致更多争用的移动的节点的非均匀分布而增加了问题的另一个维度。 我提出了一个研究计划，设计自适应网络控制机制，使和改善无线网络通信。** 我的第一个研究方向是开发控制机制，以便在存在干扰的情况下实现有效的通信。我们将通过使用软件无线电收集和分析真实的样本（迹线）来调查外部干扰的性质。这些知识将用于设计和评估网络控制机制。我们将研究在不同的时间范围内集中控制与分布式控制的最佳组合。接下来，我们将使用软件定义无线电进行实验，以研究节点如何识别不同类型的网络。我们将开发策略来动态地调整不同的介质访问控制参数，以适应信道条件。向具有多分组接收的多跳网络添加流控制机制将进一步提高吞吐量。 基于云的系统将用于将更多节点的干扰信息汇集在一起，使我们能够识别公平性问题并适应不断变化的网络条件。干扰越来越成为通信中的一个问题，因此，了解其性质并开发自适应控制机制对于无线应用非常重要。第二个研究方向认为，在无线自组织网络中的移动性和其对资源的访问效果的问题。 像干扰一样，这在对网络资源的访问中产生了异质性。 例如，依赖于电池的移动的节点可能朝向充电站移动以更新它们的电池，从而产生通信机会，但也造成接入无线网络的拥塞。能量收集和无线能量传输的最新进展为设计自我维持的网络提供了新的机会，但需要控制机制来实现这一承诺。因此，第二个研究方向是设计控制机制，利用这些能力，使应用程序，以适应变化的能源在移动的ad hoc无线网络。

Wireless communication in urban environments is significantly hampered by interference from external sources and from co-located networks. In radio wireless networks, access to the shared physical transmission medium must be arbitrated. This accounts for significant delay and loss of throughput even when the nodes follow the same medium access control protocol. It is much more difficult to deal with interference that is external (for example, from electronic devices) or from other networks with different medium access protocols. With the advent of the Internet of Things (IoT) this problem will escalate significantly. Mobility adds another dimension to the problem by creating a non-uniform distribution of mobile nodes that can lead to more contention. I propose a research program to design adaptive network control mechanisms to enable and improve communication over wireless networks. ******My first research direction is to develop control mechanisms to enable effective communication in the presence of interference. We will investigate the nature of external interference by collecting and analysing real samples (traces) using software-defined radios. This knowledge will be used to design and evaluate network control mechanisms. We will investigate the best combination of centralized versus distributed control over different time-frames. Next, we will experiment with software-defined radios to investigate the problem of how nodes can identify different types of networks. We will develop strategies to dynamically adjust different medium access control parameters to adapt to the channel conditions. Adding flow control mechanisms to multi-hop networks with multi-packet reception will further improve throughput. Cloud-based systems will be used to bring interference information of a larger set of nodes together, allowing us to identify fairness issues and adapt to changing network conditions. Interference is increasingly an issue in communication and therefore, understanding its nature and developing adaptive control mechanisms is important for wireless applications.******The second research direction considers the problem of mobility in wireless ad hoc networks and its effect on access to resources. Like interference, this creates heterogeneity in the access to network resources. For example, mobile nodes that rely on batteries, may move towards charging stations to renew their batteries creating opportunities for communication but also congestion in access to the wireless network. Recent advances in energy harvesting and wireless energy transfer open up new opportunities to design self-sustaining networks, but control mechanisms are required to fulfill that promise. Therefore the second research direction is to design control mechanisms that exploit these capabilities and enable applications to adapt to the variability of energy sources in mobile ad hoc wireless networks.