Dynamic Energy Efficient Body Area Network for cluster based selection of respective higher energy Nodes Mapped to Critically High Nodes through Heuristic Algorithm

EasyChair Preprint 5914

Abstract

In this paper an energy efficient algorithm for node selection applicable for human body area network has been proposed. This algorithm assigns a variable and dynamic time slot for sending information for a certain node connected to a specific part of human body by measuring the level of critical data for the time period along with the static priority of the node. Data-critical level is the most important driver factor for selection of a node; it is being measured by considering upper and lower threshold values of data of the node connected to a certain human organ. After selection of node to sent data, shortest paths are needed to be followed for sending information. The next nodes are being selected through heuristics method. Numbers of clusters are created by grouping sink node data with the next node considering energy level and shortest distance.

Keyphrases: Body Area Network, Clusters, Data-Critical, Energy Efficient, Heuristics.

@booklet{EasyChair:5914,
  author    = {Annwesha Banerjee and Somsubhra Gupta and Indranath Sarkar and Sourav Majumder},
  title     = {Dynamic Energy Efficient Body Area Network for cluster based selection of respective higher energy Nodes Mapped to Critically High Nodes through Heuristic Algorithm},
  howpublished = {EasyChair Preprint 5914},
  year      = {EasyChair, 2021}}