Energy Consumption Balanced Topology Variable Routing Algorithm for WWSN in Disaster Rescue Scenarios

Lincong Zhang,Kefeng Wei,Yongxin Feng,Wenbo Zhang,Xueyi Chen

doi:10.3991/ijoe.v15i07.10043

Abstract

In recent years, the Wearable Wireless Sensor Network (WWSN) has become one of the most popular networks used in disaster and emergency scenarios. We propose a routing algorithm named Energy Consumption Balanced Topology Variable (ECB-TV) on the body of users in WWSN. In the ECB-TV algorithm, network topology can be variable according to the change of network state. A multi-hop topology is used in normal situation and the network will switch to single-hop topology at once when an abnormal event happens. We also design a novel multi-hop routing algorithm for multi-hop topology where we select the node with the highest energy balance factor as next hop node. Energy balance factor is innovatively designed by simultaneously taking into account both energy consumption of transmitting and receiving nodes, which can balance the energy consumption of sensor nodes well. The simulation results show that the proposed ECB-TV algorithm has better performance in terms of lifetime in normal situations and delay in abnormal situations.

Highlights

With the rapid development of wearable technology, wearable wireless sensor networks (WWSN) have emerged in recent years [1,2,3,4,5]
We propose an Energy Consumption Balanced Topology Variable Routing algorithm (ECB-TV) in Wearable Body Area Network (WBAN)
It can be seen that the ECB-TV routing algorithm can be quickly transmitted to the coordinator node in an abnormal situation, so that the rescue personnel whose life safety is threatened can be rescued in a timely manner

Summary

Introduction

With the rapid development of wearable technology, wearable wireless sensor networks (WWSN) have emerged in recent years [1,2,3,4,5]. The distances of sensor nodes to the coordinator is different, and the energy consumption is not balanced, potentially leading to the earlier death of individual nodes and affecting the information monitoring of the human body. Peng Y. et al proposed a routing optimization algorithm based on power control, allowing the wearable sensors to make better use of energy and reduce power when not being used. In this way, the energy can be saved and the sensor can work for a longer period of time. We propose an Energy Consumption Balanced Topology Variable Routing algorithm (ECB-TV) in WBAN.

Notation

Energy consumption model

Description of the problem

Simulation and Analysis

Conclusion