Testbed implementation and evaluation of energy efficient channel dependent optimized intra-cluster scheduling
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Underwater sensor networks (UWSNs) play a key role in a wide range of applications such as, autonomous underwater vehicle, environmental monitoring, disaster prevention, assisted navigation, undersea exploration etc. Most of these applications require wireless communication and presently acoustics is the chosen mode of communication. Since underwater environment presents a difficult channel to acoustic wireless communication, it is required to develop a reliable real time communication protocol to combat the challenges presented by the underwater channel. In this thesis, the author presents an energy efficient cluster based hybrid medium access control (MAC) protocol with channel dependent optimized intra-cluster scheduling and the testbed evaluation of the channel dependent optimized intra-cluster scheduling. The proposed scheduling aims at minimizing energy consumption and maximize throughput while maintaining reliability. The proposed scheduling is a two-step approach where; (i) each member node takes a selfish decision on the number of time slots they need during the next intra-cluster cycle by making use of markov decision process (MDP), and (ii) cluster head takes a wise decision on the number of time slots for each member node by formulating the time slot allocation problem as an optimization problem. A clustered topology to support data gathering, hybrid scheme where a time division multiple access (TDMA) scheme for communication within a cluster and carrier sensing medium access with collision avoidance (CSMA/CA) scheme for communication between cluster heads and sink are adopted to further save energy. Experiments substantiate an improvement in throughput by upto 10 % while also improving the reliability.