ZigBee Routing Algorithm Based on Energy Optimization

In wireless sensor networks which are mainly ZigBee Routing Protocol based, energy consumption of node keeps high randomness in which energy consumption condition of each node could not be predicted in advance. This leads node's energy to consume too much, makes routing efficiency be low and results in long time delay of network. Aiming at these problems, this paper introduces ZigBee Routing Algorithm based on energy optimization. During the process of network operation, one energy threshold is set. If minimum residual energy of node is higher than energy threshold, AODVjr Algorithm is utilized to fully give play to its routing function. While if it is lower than energy threshold, Cluster-Tree Algorithm would be applied to reduce energy consumption. Experiment simulation indicates that the improved algorithm effectively saves total energy consumption of network, realizes load balancing and maximizes its survival time

A group-based wireless body sensors network using energy harvesting for soccer team monitoring

[EN] In team-based sports, it is difficult to monitor physical state of each athlete during the match. Wearable body sensors with wireless connections allow having low-power and low-size devices, that may use energy harvesting, but with low radio coverage area but the main issue comes from the mobility. This paper presents a wireless body sensors network for soccer team players' monitoring. Each player has a body sensor network that use energy harvesting and each player will be a node in the wireless sensor network. This proposal is based on the zone mobility of the players and their dynamism. It allows knowing the physical state of each player during the whole match. Having fast updates and larger connection times to the gateways, the information can be routed through players of both teams, thus a secure system has been added. Simulations show that the proposed system has very good performance in high mobility.This work has been partially supported by the Instituto de Telecomunicacoes, Next Generation Networks and Applications Group (NetGNA), Portugal, by Government of Russian Federation, Grant 074-U01, by National Funding from the FCT - Fundacao para a Ciencia e a Tecnologia through the PEst-OE/EEI/LA0008/2013 Project.Lloret, J.; García Pineda, M.; Catala Monzo, A.; Rodrigues, JJPC. (2016). A group-based wireless body sensors network using energy harvesting for soccer team monitoring. International Journal of Sensor Networks. 21(4):208-225. https://doi.org/10.1504/IJSNET.2016.079172S20822521