Energy Budget Based Multiple Attribute Decision Making (EB-MADM) Algorithm for Cooperative Clustering in Wireless Body Area Networks

Some Interval-Valued Intuitionistic Fuzzy Dombi Heronian Mean Operators and their Application for Evaluating the Ecological Value of Forest Ecological Tourism Demonstration Areas

“…Finally, a real experimental case for evaluating the ecological value of forest ecological tourism demonstration area was used to show the developed approach. In the subsequent studies, the extension and application of IVIFNs need to be studied in many other uncertain environments [78][79][80][81][82][83][84] and other applications [85][86][87][88][89][90].…”

Supplier Selection of Medical Consumption Products with a Probabilistic Linguistic MABAC Method

“…In this research, the MABAC method, which is also an efficient MADM or MAGDM method, was designed to tackle uncertain decision-making issues. Someday, the proposed models and algorithms with PLTSs could be applied in the other uncertain decision making scenarios [75][76][77][78][79] and many other unpredictable and ambiguous environments [80][81][82][83][84].…”

EERP-DPM: Energy Efficient Routing Protocol Using Dual Prediction Model for Healthcare Using IoT

“…Hence, routing protocols play vital role in providing effective communication between the sensors, to prolong the overall lifetime of networks via minimizing energy consumption that required forwarding data from sensor nodes to a medical-related server efficiently [21]. e traditional routing protocol is not a suitable solution for this type of network due to resource limitations [22], where, in the last decade, many works have been proposed by different researchers who focused on developing adaptive and robust routing protocols [10][11][12][13][14][15][16][17][18][19][20][21][22][23][24][25][26][27]. e various works use the congestion control techniques and maximizing battery efficiency to extend the network lifetime.…”

“…e proposal is based on a system, in which tiny sensors nodes are placed on the human body to sense important health-related parameters and forward them to two sink nodes. It is designed to stabilize the operation of WBANs by choosing the best (i) Emergency data will get higher priority and less delay over normal data (i) Packets drop ratio is high (ii) e node with greater fitness value will be selected as a next-hop node (ii) Network lifetime is less (iii) SNR parameter is used for better selection of path between sender and receiver (iii) End-to-End delay is high ELR-W [14] (i) A link efficiency-oriented network model is presented considering beaconing information and network initialization process (i) Network lifetime is less (ii) Path cost calculation model is derived focusing on energy aware link efficiency (ii) High End-to-End delay EH-RCB [15] (i) Clustering approach to enhance nodes connectivity with each other to balance out load on single sink node (i) Network lifetime is far short (ii) CF is calculated using node total energy, distance from other nodes, link SNR and required transmission power (ii) Packet delay is high EB-MADM [16] (i) Dynamic cluster head selection (i) Path loss is high (ii) An optimum node as cluster head which has higher residual energy level (ii) Network lifetime is less (iii) Selects a new cluster head for each transmission round (iv) Cooperative effort of cluster nodes PriNergy [17] (i) Selecting appropriate parent member node in the RPL protocol (i) Network lifetime is less (ii) Increasing network efficiency in terms of optimal speed of packet transmission in the IoT environment (ii) Packet drop is high EHCRP [18] (i) Link efficiency network model is presented which calculates the capability of the forwarder node in terms of its ability to send received/sensed data (i Journal of Healthcare Engineering forwarder node, which is based on optimal calculated Cost Function (CF).…”

“…To note, energy harvesting technique is adopted to provide additional energy to the sensor nodes in order to help out in prolonging the network lifetime. e authors in [16] presented the "Energy Budget-based Multiple Attributes Decision Making Algorithm (EB-MADM)," which was designed to be low power and clusterbased routing mechanism. e algorithm selects an optimum node as cluster head, which has higher residual energy level and performs data routing at the cost of least network residual energy loss.…”