On the Relevance of Using Interference and Service Diﬀerentiation Routing in the Internet-of-Things
Next generation sensor networks are predicted to be deployed in the Internet-of-the-Things (IoT) with a high level of heterogeneity, using a model where the sensor motes will be equipped with diﬀerent sensing and communication devices and tasked to deliver diﬀerent services leading to diﬀerent energy consumption patterns. The application of traditional wireless sensor routing algorithms designed for sensor motes expanding the same energy to such heterogeneous networks may lead to energy unbalance and subsequent short-lived sensor network resulting from routing the sensor readings over the most overworked sensor nodes while leaving the least used nodes idle. Building upon sensor devices service identiﬁcation, this paper assess the relevance of using sensor node service diﬀerentiation to achieve eﬃcient traﬃc engineering in IoT settings and its relative eﬃciency compared to traditional sensor routing. Performance evaluation with simulation reveals clear improvement of the proposed protocol vs. state of the art solutions in terms of load balancing, notably for critical nodes that cover more services. Results show that the proposed protocol considerably reduce the number of packets routed by critical nodes, where the diﬀerence with the compared protocol becomes more and more important as the number of nodes rises. Results also show clear reduction in the average energy consumption.
Wireless Sensor Networks, RFID, Internet of Things, Routing, Data Gathering