الفهرس 
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Abstract
Wireless Sensors Networks (WSN) is one of challenging wireless technologies that are recently addressed by various studies to improve their capabilities and to overcome their drawbacks points. There are some challenges in WSN, i.e., energy consumption,
hardware cost and complexity, coverage area, and network topology, are considered recently to enhance the performance of WSN. In this thesis work, we consider the problems of energy consumption and coverage
area for improving of the overall system performance of the WSN. Many researches covered these two topics separately and proposed various approaches which could achieve
better energy efficiency and better coverage area. In our work, we work to combine the best way achieved for better power consumption with the best way achieved for largest coverage area together to achieve both energy efficiency and coverage area together. We present a combination of two technologies towards an efficient WSN; Wake-up Receiver (WUR) technology that represents a secondary radio transceiver which achieving better
results in reducing energy consumption of sensors along with Long-Rang Wide Area Network (LoRaWAN) technology. the wireless modulation technology enables the physical layer to connect things representing long-range connectivity to increase the coverage area of the network. The proposed network design is based on two different transmission scenarios between the network nodes, i.e., short- and long-range transmissions, and employs WUR
for short-range transmission with listening power of 270nW and long range chip SEMTECH SX1272 for long-range transmission and the nodes are connected using star topology, to reduce the probability of collisions.
Moreover, this thesis studies and tests the network behavior using the Omnet program to verify that the combination between WUR and LoRaWAN in the proposed network design under the considered communication scenarios between nodes achieves better results for energy consumption than traditional LoRa or not, and thisleads to a longer lifetime for the sensor nodes which is a critical point for sensor node plus achieving a lower
collisions network with distinct packet delivery and almost no delay.
Finally, the proposed network design is tested and evaluated under further
communication scenarios between nodes by changing some parameters, e.g., number of packets. to ensure that the final combination scenario that we achieve (WUR scenario 2) is
the best way for communication or there is another way is better.