## 1 Introduction
Otherwise, all packets are forwarded to a neighboring node with the lowest temperature. However, the data packet may go through many intermediate nodes in case the mobile nodes are not available. This is mainly because hop count metric is not considered in the routing process. To solve this problem, Forwarder based Temperature-aware Routing (FTAR) has been proposed recently. It selects a mobile node which is the most likely to be connected to a sink node as a forwarder. However, in situations where a mobile node is not available, both hop count and temperature metric are used to select the next hop. Similarly, Mobility and Temperature-aware Routing Protocol (MTARP) [10] selects the best next hop while considering three routing metrics such as hop count, temperature, and link quality at the same time. These metrics are used to formulate routing cost by multiplying the metrics and pre-defined weighted factor. Once the routing cost is calculated, the next hop selection is performed by selecting a neighbor node which has the highest routing cost. However, the previous approaches have limitations in terms of adaptability, i.e., they exploit a heuristic weighted factor for calculating a routing cost. Especially, since they set the highest weight for the hop count metric, it is hard to prevent packet loss or temperature rise efficiently. Therefore, a logical approach is required to determine the weight of each routing metric where the routing metrics are not correlated to each other. To achieve this goal, we propose an enhanced version of MTARP based on the Multi-Criteria Decision Making (MCDM) method by exploiting Analytic Hierarchy Process (AHP) and Simple Additive Weight (SAW) methods. These methods provide a flexible decision making process for next hop selection by considering various factors at the same time. In order to select the best next hop, we take three routing metrics: hop count, temperature and link quality. Furthermore, these metrics are the criterions for the AHP and SAW methods. Moreover, the simulation results are given to demonstrate that the proposed scheme reveals the better performance than MTARP in the aspects of number of hot spots, packet delivery ratio and end-to-end delay. The main contributions of this paper are summarized below. * Unlike the previous temperature routing protocols, our study incorporates three metrics: hop count, temperature, and link quality in the routing process to prevent the packet loss and transmission delay due to body movements. * To analyze the influence of the temperature rise of sensor nodes on the network parameters such as packet delivery ratio and end-to-end delay, we logically determine the relative weights between the proposed metrics using AHP and SAW methods. * Since the problem of optimization of the number of hot spots, real-time transmission, and reliability depends on the WBAN applications, we determine the relative weights among the proposed metrics differently depending on the type of applications such as common medical sensors, critical medical sensors. The rest of paper is organized as follows. Section 2 describes the related work. In Section 3, the MCDM methods used in our study are described. In Section 4, we describe the proposed protocol. A performance evaluation is conducted in Section 5. Finally, Section 6 concludes our work.