A Collaborative Energy Optimization Routing Metric for IoT Network over Smart City

Internet of Things (IoT) has proven its ability to promote smartness into human's life by making physical objects more informative and adaptive to our needs. Consequently, a number of applications related to smart environments have been appeared, some examples are smart parking, smart building and smart agriculture. Furthermore, the integration of different smart environments leads to development of smart city as a hub for such ecosystems. Nonetheless, enabling end-to-end communications over ultra-large-scale network like cities poses a challenge on IoT devices due to their energy scarce resources. This paper proposes a novel routing metric designed especially for IoT networks over smart cities, this proposal enables each node to estimate the energy consumptions of each possible path and then selects that path which consumes the lowest energy. This estimation is carried-by a collaborative technique that does not impose any overhead on the network. Thereby massive saving of energy is achieved without affecting main performance metrics of the network. Simulation results along with multiple cases studies demonstrate the superlative of the proposed metric from different perspectives.