A proactive scalable approach for reliable cluster formation in wireless networks with D2D offloading

Abstract

With the current exponential growth in traffic and service demands, device-to-device (D2D) cooperation is identified as a major mechanism to enable 5G networks to effectively and efficiently augment network resources. The effectiveness of D2D cooperation depends on a wide range of decision making processes that include cluster formation, resource allocation, in addition to connection and mobility management. Irrespective of the D2D cooperation scenario whether in sensor, ad hoc, or cellular networks, the literature normally assumes that devices selected as relays or data sources are reliable; this means that they will maintain the connection till the communication session ends. Yet, this assumption is challenged in practice since devices' batteries can be depleted (e.g., sensors in an IoT network) and devices can move leading to connection termination (e.g., mobile users in a WiFi network or cars in a vehicular ad hoc network). To this end, we address the problem of reliable D2D cooperation in wireless networks by proposing a novel approach that is proactive by utilizing reliability metrics in the decision making process, and scalable by having low implementation complexity suitable for dense networks. These differentiating factors are shown to enhance the overall network reliability compared to standard techniques and to facilitate dynamic operation which is essential for practical implementation. Performance is evaluated using extensive simulations in addition to test bed experimental demonstration in order to quantify gains and extract insights on a range of existing design tradeoffs.

Role of artificial intelligence in cloud computing, IoT and SDN: Reliability and scalability issues

“…Sharafeddine and Farhat [11] have proposed an approach to address reliable communication issues and considering the scalability of devices. A heuristic approach was used to select the cluster head and optimize the network reliability resulting in lower failure cost.…”

Genetic algorithm based adaptive offloading for improving IoT device communication efficiency

“…The authors in [18] designed a proactive decision making process for improving the device-to-device communication reliability. The decision making process operates in a cooperative manner considering different optimization metrics to minimize complexity in processing.…”

Communication and Computation Cooperation in Wireless Network for Mobile Edge Computing

“…Hence, device cooperation can be used to solve the low bandwidth problem. Learning from [29], [30], the offloading input data can be transmitted to near smart device through D2D. In [29], a lightweight computation offloading method that offloaded the computation task to nearer mobile devices was proposed to save energy of wearable devices.…”

“…In [29], a lightweight computation offloading method that offloaded the computation task to nearer mobile devices was proposed to save energy of wearable devices. In [30], the authors proposed a D2D cooperation scenario to optimize network reliability.…”