The main theme of this project is to design effective Medium Access Control (MAC) and routing protocols for Multi-hop Wireless Sensor Networks (MWSNs) that can achieve three main goals: increase in throughput, prolonging the lifetime of network and minimisation of end-to-end delay of packets, independently of the topology, traffic pattern or routing policy. Success in design such protocols is of tremendous importance in building large scheme WSNs which are required to realise enormous number of envisaged communication systems including, Internet of Things, smart cities, wearable sensor networks, molecular communication networks.
The project attains the aforementioned goals using stochastic and statistical theorems that provide rigorous theoretical tools as well as powerful computational algorithms. Moreover, the multidisciplinary of these theorems facilitates exploiting other disciplines as an inspirational source for developing the effective MAC and routing protocols. Starting form MAC layer, the project employs the Lévy stochastic process to engineer a Gamma based back-off scheme with intelligent collision avoidance mechanism, statistical analysis as well as simulation results demonstrate advantages of the proposed scheme compared to two state-of-the-art CSMA-CA protocols, namely, IEEE 802.15.4 and IEEE 8.11. Providing an effective scheme that is able to manage the duty cycle of nodes is the second main contribution of this project. The proposed scheme is inspired by the artificial chemistry and uses Bayesian statistical inference to derive the scheme, the outperformance of the proposed scheme is assessed using a detailed breakdown analysis as well as the simulation outcomes. The final main contribution of project is design an effective routing protocol using the stochastic derivative of harmony search algorithm. The bountiful benefits of the proposed routing protocol are evaluated using the simulations and compared with a number of exiting routing protocols.
Members
- Mohammed Baz
- Paul Mitchel
Dates
- Start: October 2010
Research