A path generation scheme for real-time green internet of things
Yung-Feng Lu, Jun Wu, Chin‐Fu Kuo · ACM SIGAPP Applied Computing Review · 2014
Internet of Things (IoT) is expected to offer promising solutions to transform the operation and role of many existing systems such as transportation systems, manufacturing systems, and enables many applications in many domains. IoT aims to connect different things over the network. The goal of IoT is to provide a good and efficient service for many applications. A real-time IoT applications must react to stimuli from its environment within time intervals dictated by its environment. The instant when a result must be produced is called a deadline. Wireless Sensor Networks (WSN) have recently used been in the limelight for many domains. The IoT can be explained as a general purpose sensor network. WSNs will constitute an integral part of the IoT paradigm, spanning many different application areas. Since sensor nodes usually are developed by low-cost hardware, one major challenge in the development of many sensor-network applications is to provide high-security features with limited resources. In this paper, we propose a path generation framework with deadline considerations for real-time query processing. To meet the deadline, the framework will assign the time budget to the routing path, and then, derive a feasible path with the assigned time budget. In order to evaluate the performance of the proposed RTQP scheme, we construct a simulation model using ns 2.35. The performance of the RTQP scheme is compared with that of other related mechanisms, for which we have very encouraging results.