QoS Path Planning Strategy in Internet of Things

Awa Marah Nana, Arouna Ndam Njoya, Ado Adamou Abba Ari, Abdelhak Mourad Gueroui, Christopher Thron, Wahabou Abdou · 2022

In wireless sensor networks (WSN), flow transmission is one of the factors which is responsible of nodes batteries drain. This issue becomes more important in the context of Internet of Things (IoT) with massive connections. In this paper, we propose a path allocation strategy for flows which considers the network energy availability. To accomplish this, we have proposed a linear programming formulation of the path planning problem that includes multiple types of flows. For each flow we have assigned a threshold energy requirement. In order to avoid energy imbalance in the network during flow transmission, we compute the maximum percentage energy reduction along path that allows us to select a path with a residual energy that meets the flow requirement. The results demonstrated the effectiveness of the approach.

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