Uncertainty-aware Wireless Sensor Networks
International Journal of Mobile Communications
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Recent years have witnessed an explosion in public demand for wireless access to the Internet. Furthermore, with greater integration of components, large scale deployment of inexpensive wireless sensor networks is also on the horizon. Unfortunately, the unpredictability of wireless channels and node mobility results in unique challenges to achieving seamless integration with the Internet while provisioning end-to-end quality of service (QoS). That is, the uncertainty associated with channels as well as node mobility, and hence network topology, can bedevil protocols more suited to a classical Internet structure. Therefore, new protocols which take into account such uncertainty are necessary. Clearly, the protocols to be deployed must be (i) robust against the variability in traffic load, host mobility, resource availability and wireless link characteristics; (ii) adaptive to the network dynamics, thus making learning and prediction integral components in the design methodology; and (iii) intrinsically on-line so as to make real-time decisions based on temporal and spatial information.In order to cope with uncertainty in wireless mobile networks, we will propose an overarching theoretical framework by naturally abstracting network parameter uncertainty to such information theoretic measures such as entropies and entropy rates in bits and bits/s, respectively. We will investigate in details the applicability of this framework in designing optimal mobility and resource management protocols. We will also discuss how to tackle several other challenging problems in wireless networks.