Socio-economic aware data forwarding in mobile sensing networks and systems

摘要

The vision for smart sustainable cities is one whereby urban sensing is core to optimising cityudoperation which in turn improves citizen contentment. Wireless Sensor Networks are envisionedudto become pervasive form of data collection and analysis for smart cities but deployment ofudmillions of inter-connected sensors in a city can be cost-prohibitive. Given the ubiquity andudever-increasing capabilities of sensor-rich mobile devices, Wireless Sensor Networks with MobileudPhones (WSN-MP) provide a highly flexible and ready-made wireless infrastructure for futureudsmart cities. In a WSN-MP, mobile phones not only generate the sensing data but also relay theuddata using cellular communication or short range opportunistic communication. The largestudchallenge here is the efficient transmission of potentially huge volumes of sensor data overudsometimes meagre or faulty communications networks in a cost-effective way.udThis thesis investigates distributed data forwarding schemes in three types of WSN-MP: WSNudwith mobile sinks (WSN-MS), WSN with mobile relays (WSN-HR) and Mobile Phone SensingudSystems (MPSS). For these dynamic WSN-MP, realistic models are established and distributedudalgorithms are developed for efficient network performance including data routing and forwarding,udsensing rate control and and pricing. This thesis also considered realistic urban sensingudissues such as economic incentivisation and demonstrates how social network and mobilityudawareness improves data transmission. Through simulations and real testbed experiments, itudis shown that proposed algorithms perform better than state-of-the-art schemes.