Energy Aware Real-Time Routing in Wireless Sensor Network

Abstract

Real-time communication demands perfection not only at hardware level but also at the software level design. Real-Time Operating System (RTOS) plays a vital role in empowering the timeliness sensitive communication. Kernel design must be sensitive to compensate the delay due to hardware interaction and layered performance. From layered view, a messy contribution is required from each layer design and its relevant protocols as well as cross layer protocols to lessen different delays. The history of plantation of ideas and protocols purely in wireless sensor network field is hardly more than a decade. Ubiquitous application of these miniatures sometimes requires tight end to-end delay bound in surveillance, monitoring, tracking, caring and controlling. Even probabilistic end-to-end delay may lead to severe loss and failure of system. Putting constraints on performance of a system in the temporal domain, some times turns right into wrong and update into outdate. These are the scenarios where apposite value of time inveterate in the reality. But such timing precision not only requires tightly scheduled performance constraints but also requires optimal design and operation of all system components. Any malfunctioning at any relevant aspect may cases a serious disaster and even loss of human lives. Managing and interacting with such real-time system becomes much intricate when these sources are limited as in wireless sensor nodes. Real-Time routing is the core concept in QoS aware network layer issues which ensure reaching the destination within the limited required time and resources. Non-coherent data processing, effective and efficient routing protocols as well as optimally designed RTOS (Real Time Operating System) can add much contribution in the real-time context. Our proposed mechanism of approaching the sink from multi-sources in the fast and efficient manner is simply relies on in-network processed information which appreciatory decreases too much beacons and messaging among neighboring nodes resulting in increasing the network lifetime. More-over, through our proposed mechanism, every node is aware of its time to get its message to reach the destination. Thus calculation time and decision making time also decreases leading in favor to real-time communication.