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  • 1.
    Agnihotri, Mohit
    et al.
    KTH, School of Information and Communication Technology (ICT), Communication Systems, CoS.
    Chirikov, R.
    Militano, F.
    Cavdar, C.
    KTH, School of Information and Communication Technology (ICT), Communication Systems, CoS.
    Topology Formation in mesh networks considering Role Suitability2016In: 2016 IEEE Wireless Communications and Networking Conference Workshops, WCNCW 2016, Institute of Electrical and Electronics Engineers (IEEE), 2016, p. 421-427Conference paper (Refereed)
    Abstract [en]

    The paper studies various mesh topology formation techniques that can be used to aid the development of large-scale capillary networks. The work focuses on how mesh networks can be established using Bluetooth Low Energy exploiting the heterogeneous characteristics of the devices in the network. A novel algorithm called Topology Formation considering Role Suitability (TFRS) is proposed aiming to maximize the network lifetime. The algorithm employs a newly introduced metric called role suitability metric (RSM) to assign the best role among master, relay and slave to a participating device. The RSM metric is computed from device characteristics including, but not limited to, energy, mobility and computational capability. We use system-level simulation to evaluate the performance of the proposed algorithm against a reference under a homogeneous deployment scenario consisting of heterogeneous devices. Results show that the network lifetime can be improved significantly when the topology is formed considering the device characteristics for both master role selection and relay selection. TFRS can achieve 20% to 40% higher network lifetime depending on the deployment characteristics over the reference algorithm.

  • 2.
    Agnihotri, Mohit
    et al.
    KTH, School of Information and Communication Technology (ICT), Communication Systems, CoS.
    Chirikov, R.
    Militano, F.
    Cavdar, Cicek
    KTH, School of Information and Communication Technology (ICT), Communication Systems, CoS.
    Topology formation in mesh networks considering role suitability2016In: IEEE Wireless Communications and Networking Conference, WCNC, IEEE, 2016Conference paper (Refereed)
    Abstract [en]

    The paper studies various mesh topology formation techniques that can be used to aid the development of large-scale capillary networks. The work focuses on how mesh networks can be established using Bluetooth Low Energy exploiting the heterogeneous characteristics of the devices in the network. A novel algorithm called Topology Formation considering Role Suitability (TFRS) is proposed aiming to maximize the network lifetime. The algorithm employs a newly introduced metric called role suitability metric (RSM) to assign the best role among master, relay and slave to a participating device. The RSM metric is computed from device characteristics including, but not limited to, energy, mobility and computational capability. We use systemlevel simulation to evaluate the performance of the proposed algorithm against a reference under a homogeneous deployment scenario consisting of heterogeneous devices. Results show that the network lifetime can be improved significantly when the topology is formed considering the device characteristics for both master role selection and relay selection. TFRS can achieve 20% to 40% higher network lifetime depending on the deployment characteristics over the reference algorithm.

  • 3.
    Ok, Dudu
    et al.
    KTH.
    Ahmed, Furqan
    KTH.
    Agnihotri, Mohit
    KTH, School of Information and Communication Technology (ICT), Communication Systems, CoS.
    Cavdar, Cicek
    KTH, School of Information and Communication Technology (ICT), Communication Systems, CoS.
    Self-organizing mesh topology formation in Internet of things with heterogeneous devices2017In: EuCNC 2017 - European Conference on Networks and Communications, Institute of Electrical and Electronics Engineers (IEEE), 2017, article id 7980779Conference paper (Refereed)
    Abstract [en]

    This paper focuses on the design of self-organizing algorithms for mesh topology formation between low-power short-range heterogeneous devices. To this end, we consider randomly deployed devices that are heterogeneous in terms of characteristics such as energy source (e.g. mains, rechargeable battery, and coin-cell), computational resources, and communication capabilities. Resilient topology formation is considered in a Bluetooth based setting, where devices communicate locally to form pico-nets comprising of devices in master and slave roles. These pico-nets are connected via primary and secondary bridges that forward the traffic between the pico-nets. A role suitability metric based on the device characteristics (e.g. energy source and number of neighbors) is used to assign appropriate roles to devices. By energy aware RSM based topology formation, more than 100% increase in network lifetime over the baseline approach is achieved. And by adding secondary bridges between piconets ≈ 35% further increase in network lifetime is shown.

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