摘要：Internet of Things (IoT) is a renascence of the Internet that gathers rapid momentum propelled
by the evolutions in mobile and sensing devices, wireless communication and networking technologies,
cloud computing, etc. IoT solutions are based on low power and lossy networks (LLN). LLN network
consists of nodes having limited processing power, memory and battery capacity. The Routing Over
Low Power And Lossy Networks(ROLL) group have developed a Routing Protocol for LLN (RPL).
Network survivability is an absolute requirement in these scenarios. This paper tries to redesign the
RPL protocol to work in congested and interfered network scenarios as in the IoT applications with
fast-changing nature of the mesh-like network topology. The proposal modifies RPL to work like the
survivable path routing (SPR) that maximizes the survivability of the links between the hops, reduces
the energy disparity in the nodes, and avoids congestion at the relaying nodes. For selecting the next
hop node, the rank calculation of RPL is done by using three factors called survivability factors (SF),
i.e. SFenergy, SFinerference, and SFcongestion. Simulation results show that the scheme works better regarding
radio duty cycle, network delay and packet delivery ratio.
其他摘要：Internet of Things (IoT) is a renascence of the Internet that gathers rapid momentum propelled by the evolutions in mobile and sensing devices, wireless communication and networking technologies, cloud computing, etc. IoT solutions are based on low power and lossy networks (LLN). LLN network consists of nodes having limited processing power, memory and battery capacity. The Routing Over Low Power And Lossy Networks(ROLL) group have developed a Routing Protocol for LLN (RPL). Network survivability is an absolute requirement in these scenarios. This paper tries to redesign the RPL protocol to work in congested and interfered network scenarios as in the IoT applications with fast-changing nature of the mesh-like network topology. The proposal modifies RPL to work like the survivable path routing (SPR) that maximizes the survivability of the links between the hops, reduces the energy disparity in the nodes, and avoids congestion at the relaying nodes. For selecting the next hop node, the rank calculation of RPL is done by using three factors called survivability factors (SF), i.e. SF extsubscript{energy}, SF extsubscript{inerference}, and SF extsubscript{congestion}. Simulation results show that the scheme works better regarding radio duty cycle, network delay and packet delivery ratio.
关键词：IoT; RPL; Network Survivability; SPR; Energy Efficiency; SINR.
