Topology-aware transmission scheduling for distributed highway traffic monitoring wireless sensor networks

Wireless sensor networks have been deployed along highways for traffic monitoring. The thesis studies a set of transmission scheduling methods for optimizing network throughput, message transfer delay, and energy efficiency. Today\u27s traffic monitoring systems are centrally managed. Several studies have envisioned the advantages of distributed traffic management techniques. The thesis is based on previously proposed hierarchical sensor network architecture, for which the routing and transmission scheduling methods are derived. Wireless sensor networks have a lifetime limited by battery energy of the sensors. The thesis proposes to assign schedules for nodes to transmit and receive packets and turning off their radios during other times to save energy. The schedules are assigned to minimize the end-to-end packet delivery latency and maximize the network throughput. Conflict-free transmission slots are assigned to sensors along road segments leading to a common intersection based on locally discovered topology. The slot assignment adopts a heuristic that rotates among segments, assigns closest possible slots to neighboring nodes in a pipelined fashion, and exploits radio capture effects when possible. Based on the single-intersection approach, centralized and distributed multi-intersection scheduling methods are proposed to resolve conflicts among nodes belonging to different intersections. The centralized approach designates a controller as the leader to collect topology information of a set of contiguous intersections and assign schedules using the same single-intersection algorithm. The distributed approach has each intersection determine its own schedule independently and then exchange the topology information and schedules with its adjacent intersections to resolve conflicts locally. Based on simulation studies in ns-2, the centralized approach achieves better performance, while the distributed approach tries to approach the centralized performance at much lower communication costs. A communication cost analysis is performed to assess the trade-off between the centralized and distributed approaches

Link Scheduling Algorithms For In-Band Full-Duplex Wireless Networks

In the last two decades, wireless networks and their corresponding data traffic have grown significantly. This is because wireless networks have become an indispens- able and critical communication infrastructure in a modern society. An on-going challenge in communication systems is meeting the continuous increase in traffic de- mands. This is driven by the proliferation of electronic devices such as smartphones with a WiFi interface along with their bandwidth intensive applications. Moreover, in the near future, sensor devices that form the Internet of Things (IoTs) ecosystem will also add to future traffic growth. One promising approach to meet growing traffic demands is to equip nodes with an In-band-Full-Duplex (IBFD) radio. This radio thus allows nodes to transmit and receive data concurrently over the same frequency band. Another approach to in- crease network or link capacity is to exploit the benefits of Multiple-Input-Multiple- Output (MIMO) technologies; namely, (i) spatial diversity gain, which improves Signal-to-Noise Ratio (SNR) and thus has a direct impact on the data rate used by nodes, and (ii) spatial multiplexing gain, whereby nodes are able to form concurrent links to neighbors

Opportunistic routing and network coding in multi-hop wireless mesh networks

The rapid advancements in communication and networking technologies boost the capacity of wireless networks. Multi-hop wireless networks are extremely exciting and rapidly developing areas and have been receiving an increasing amount of attention by researchers. Due to the limited transmission range of the nodes, end-to-end nodes may situate beyond direct radio transmission ranges. Intermediate nodes are required to forward data in order to enable the communication between nodes that are far apart. Routing in such networks is a critical issue. Opportunistic routing has been proposed to increase the network performance by utilizing the broadcast nature of wireless media. Unlike traditional routing, the forwarder in opportunistic routing broadcasts date packets before the selection of the next hop. Therefore, opportunistic routing can consider multiple downstream nodes as potential candidate nodes to forward data packets instead of using a dedicated next hop. Instead of simply forwarding received packets, network coding allows intermediate nodes to combine all received packets into one or more coded packets. It can further improve network throughput by increasing the transmission robustness and efficiency. In this dissertation, we will study the fundamental components, related issues and associated challenges about opportunistic routing and network coding in multi-hop wireless networks. Firstly, we focus on the performance analysis of opportunistic routing by the Discrete Time Markov Chain (DTMC). Our study demonstrates how to map packet transmissions in the network with state transitions in a Markov chain. We will consider pipelined data transfer and evaluate opportunistic routing in different wireless networks in terms of expected number of transmissions and time slots. Secondly, we will propose a regional forwarding schedule to optimize the coordination of opportunistic routing. In our coordination algorithm, the forwarding schedule is limited to the range of the transmitting node rather than among the entire set of forwarders. With such an algorithm, our proposal can increase the throughput by deeper pipelined transmissions. Thirdly, we will propose a mechanism to support TCP with opportunistic routing and network coding, which are rarely incorporated with TCP because the frequent occurrences of out-of-order arrivals in opportunistic routing and long decoding delay in network coding overpower TCP congestion control. Our solution completes the control feedback loop of TCP by creating a bridge between the sender and the receiver. The simulation result shows that our protocol significantly outperforms TCP/IP in terms of network throughput in different topologies of wireless networks

A bipartite graph based proportional fair scheduling strategy to improve throughput with multiple resource blocks

The fifth-generation wireless communication is expected to provide a huge amount of capacity to cater to the need of an increasing number of mobile consumers, which can be satisfied by device-to-device (D2D) communication. Reusing the cellular user’s resources in an efficient manner helps to increase the spectrum efficiency of the network but it leads to severe interference. The important point in reusing cellular user resources is that D2D communication should not affect the cellular user’s efficiency. After achieving this requirement, the focus is now turned toward the allocation of resources to D2D communication. This resource allocation strategy is to be designed in such a way that it will not affect communication among the cellular user (CU). This scheme improves various performance objectives. This paper aims at designing a proportional fair resource allocation algorithm based on the bipartite graph which maintains the quality of service (QoS) of CUs while providing D2D communication. This algorithm can be merged with any other scheme of resource allocation for improving QoS and adopting changing channels. In this scheme, a D2D pair can be allocated with one or more than one resource blocks. The MATLAB simulations analyze the performance of the proposed scheme

QoS BASED ENERGY EFFICIENT ROUTING IN WIRELESS SENSOR NETWORK

A Wireless Sensor Networks (WSN) is composed of a large number of low-powered sensor nodes that are randomly deployed to collect environmental data. In a WSN, because of energy scarceness, energy efficient gathering of sensed information is one of the most critical issues. Thus, most of the WSN routing protocols found in the literature have considered energy awareness as a key design issue. Factors like throughput, latency and delay are not considered as critical issues in these protocols. However, emerging WSN applications that involve multimedia and imagining sensors require end-to-end delay within acceptable limits. Hence, in addition to energy efficiency, the parameters (delay, packet loss ratio, throughput and coverage) have now become issues of primary concern. Such performance metrics are usually referred to as the Quality of Service (QoS) in communication systems. Therefore, to have efficient use of a sensor node’s energy, and the ability to transmit the imaging and multimedia data in a timely manner, requires both a QoS based and energy efficient routing protocol. In this research work, a QoS based energy efficient routing protocol for WSN is proposed. To achieve QoS based energy efficient routing, three protocols are proposed, namely the QoS based Energy Efficient Clustering (QoSEC) for a WSN, the QoS based Energy Efficient Sleep/Wake Scheduling (QoSES) for a WSN, and the QoS based Energy Efficient Mobile Sink (QoSEM) based Routing for a Clustered WSN. Firstly, in the QoSEC, to achieve energy efficiency and to prolong network/coverage lifetime, some nodes with additional energy resources, termed as super-nodes, in addition to normal capability nodes, are deployed. Multi-hierarchy clustering is done by having super-nodes (acting as a local sink) at the top tier, cluster head (normal node) at the middle tier, and cluster member (normal node) at the lowest tier in the hierarchy. Clustering within normal sensor nodes is done by optimizing the network/coverage lifetime through a cluster-head-selection algorithm and a sleep/wake scheduling algorithm. QoSEC resolves the hot spot problem and prolongs network/coverage lifetime. Secondly, the QoSES addressed the delay-minimization problem in sleep/wake scheduling for event-driven sensor networks for delay-sensitive applications. For this purpose, QoSES assigns different sleep/wake intervals (longer wake interval) to potential overloaded nodes, according to their varied traffic load requirement defined a) by node position in the network, b) by node topological importance, and c) by handling burst traffic in the proximity of the event occurrence node. Using these heuristics, QoSES minimizes the congestion at nodes having heavy traffic loads and ultimately reduces end-to-end delay while maximizing the throughput. Lastly, the QoSEM addresses hot spot problem, delay minimization, and QoS assurance. To address hot-spot problem, mobile sink is used, that move in the network to gather data by virtue of which nodes near to the mobile sink changes with each movement, consequently hot spot problem is minimized. To achieve delay minimization, static sink is used in addition to the mobile sink. Delay sensitive data is forwarded to the static sink, while the delay tolerant data is sent through the mobile sink. For QoS assurance, incoming traffic is divided into different traffic classes and each traffic class is assigned different priority based on their QoS requirement (bandwidth, delay) determine by its message type and content. Furthermore, to minimize delay in mobile sink data gathering, the mobile sink is moved throughout the network based on the priority messages at the nodes. Using these heuristics, QoSEM incur less end-to-end delay, is energy efficient, as well as being able to ensure QoS. Simulations are carried out to evaluate the performance of the proposed protocols of QoSEC, QoSES and QoSEM, by comparing their performance with the established contemporary protocols. Simulation results have demonstrated that when compared with contemporary protocols, each of the proposed protocol significantly prolong the network and coverage lifetime, as well as improve the other QoS routing parameters, such as delay, packet loss ratio, and throughput