TY - THES
T1 - Self-Organisation for Survival
AU - Banerjee, I.
PY - 2022
Y1 - 2022
N2 - In a dynamic or disruptive situation, such as disasters, a fully mobile and decentralized infrastructure-less network seems to be a viable option for communication. Citizens are confronted with challenges such as complicated deployment of these networks, resource-constrained mobile phones and mobility. This requires communication networks to adapt to these changing spatial-temporal-resource contexts. Additionally, mobile and immobile citizens stuck in impoverished, highly populated areas, so-called ‘islands of inequity’ where often initial infrastructure is missing need to be able to connect with disaster response teams requiring hybrid communication approaches. In this thesis, the right to communicate and remain connected is considered the core of the design process. To serve this purpose the thesis focuses on investigating values that can be delivered with the design of a resilient communication network. This involves defining values of "participatory fairness", "inclusion" and "continuity". The main research question addressed by this thesis is:How to design a value-based citizen-centric adaptive mobile communication system?To answer this question, this thesis uses self-organization as an approach to design a decentralized context-aware mobile communication system for citizens that: (I) is robust, reliable and scalable; delivering all functional requirements; (II) fulfils the value of participatory fairness at the system level, and (III) seamlessly and automatically integrates with other available infrastructure for inclusive and continuous message delivery for all phones despite energy disparities and varied population densities of a disaster area. This thesis explores, for the first time, the effects of introducing a value-sensitive design approach for citizen-centric communication networks.
AB - In a dynamic or disruptive situation, such as disasters, a fully mobile and decentralized infrastructure-less network seems to be a viable option for communication. Citizens are confronted with challenges such as complicated deployment of these networks, resource-constrained mobile phones and mobility. This requires communication networks to adapt to these changing spatial-temporal-resource contexts. Additionally, mobile and immobile citizens stuck in impoverished, highly populated areas, so-called ‘islands of inequity’ where often initial infrastructure is missing need to be able to connect with disaster response teams requiring hybrid communication approaches. In this thesis, the right to communicate and remain connected is considered the core of the design process. To serve this purpose the thesis focuses on investigating values that can be delivered with the design of a resilient communication network. This involves defining values of "participatory fairness", "inclusion" and "continuity". The main research question addressed by this thesis is:How to design a value-based citizen-centric adaptive mobile communication system?To answer this question, this thesis uses self-organization as an approach to design a decentralized context-aware mobile communication system for citizens that: (I) is robust, reliable and scalable; delivering all functional requirements; (II) fulfils the value of participatory fairness at the system level, and (III) seamlessly and automatically integrates with other available infrastructure for inclusive and continuous message delivery for all phones despite energy disparities and varied population densities of a disaster area. This thesis explores, for the first time, the effects of introducing a value-sensitive design approach for citizen-centric communication networks.
KW - Self-organisation
KW - Disaster response
KW - Autonomic computing
KW - Context-aware systems
KW - Complex adaptive systems
KW - value-sensitive design (VSD)
KW - Mobile ad hoc networks
KW - Energy Efficiency
KW - Agent based modelling
U2 - 10.4233/uuid:300f7a64-53e6-4af7-b352-2805c551611c
DO - 10.4233/uuid:300f7a64-53e6-4af7-b352-2805c551611c
M3 - Dissertation (TU Delft)
SN - 978-94-6366-618-3
CY - Delft
ER -