2 research outputs found

    Priority Based Energy Aware (PEA) routing protocol for WBANs

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    Wireless Body Area Networks (WBANs) is a new technology for remote monitoring of patients. Sensor nodes are placed on different parts of the body such as implants and on body to collect data and transfer to the Sink node. Change in body posture, placement of sensors, priority of sensor data and energy consumption makes routing very difficult. Therefore, a Priority based Energy Aware (PEA) routing protocol is proposed in this paper. Child nodes choose a parent node connected to Sink based on a cost function that depends upon priority, residual energy and distance of node. Residual energy facilitates load balancing i.e. selection of different nodes for transmission. Distance helps in successful packet delivery to the parent node and caters for body postures. Priority helps to select a best possible path to forward the critical data keeping in view the energy constraint in WBANs. Comparison of different cost functions with proposed PEA protocol for performance metrics such as network lifetime, throughput and residual energy reveals that the proposed protocol results in increased network lifetime, throughput improvement of around 50% and higher residual energy

    Performance Analysis of Various Routing Protocols in 3D Body Architecture using Qualnet in WBSN

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    Wireless Body Sensor Network (WBSN) is a connectionless architecture used to monitor health of a patient or an athlete. Various routing strategies have been proposed to increase the network lifetime. In this work, we have compared some well known ad-hoc network routing protocols like DYMO, DSR, ZRP and LAR1 in WBSN. WBSN works in a small area like Bluetooth or Zigbee. Few gateway nodes are also considered to route the traffic. The simulations have been performed using Qualnet 6.1. Various parameters like jitter, throughput, end to end delay, packet delivery ratio has been used for comparison. Results revealed that ZRP have least end to end delay (0.2) and jitter (0.1), but have low throughput i.e. 2362 b/s as compared to DYMO and DSR i.e. 2752 b/s and 3026 b/s
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