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

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

Mitigation of Single Point Failure and Successful Data Recovery in Wireless Body Area Network

A wireless body area network can play a significant role in monitoring the physiological signs of human body and hence can be applied in various application areas such as battlefield, sports, hospital etc. As WBAN deals with vital signs of human body, network reliability is of utmost importance. The reliability of WBAN is the ability of the network to be connected even during node failures and malicious attacks. In this paper, we have proposed an efficient and highly reliable wireless body area network (WBAN) with a combination of cooperated network coding that can provide increased throughput and deal with single point of failure. Cooperated network coding in real time application areas of wireless body area network is an efficient way to deal with packet loss, single point of failure, data recovery and reduced latency due to retransmission of information. In this paper, we have proposed a many-to-many cooperated network coding to support multiple sources, multiple relays and multiple sinks or destinations in WBAN

Improving the energy efficiency for the WBSN bottleneck zone based on random linear network coding

The reduction of energy consumption and the successful delivery of data are important for the Wireless Body Sensor Network (WBSN). Many studies have been proposed to improve energy efficiency, but most of them have not focussed on the biosensor nodes in the WBSN bottleneck zone. Energy consumption is a critical issue in WBSNs, as the nodes that are placed next to the sink node consume more energy. All biomedical packets are aggregated through these nodes forming a bottleneck zone. This paper proposes a novel mathematical model for body area network (BAN) topology to explain the deployment and connection between biosensor nodes, simple relay nodes, network coding relay nodes and the sink node. Therefore, this paper is dedicated to researching both the energy saving and delivery of data if there is a failure in one of the links of the transmission, which relates to the proposed Random Linear Network Coding (RLNC) model in the WBSN. Using a novel mathematical model for a WBSN, it is apparent that energy consumption is reduced and data delivery achieved with the proposed mechanism. This paper details the stages of the research work

An energy efficient network coding approach for wireless body area networks

In this paper, we propose a practical network coding approach for wireless body are networks (WBANs) using decode-and-forward relays. In this scheme, namely decode and forward-network coding (DF-NC), each relay linearly combines different messages from different sources to generate one message, and then transmits that message to the destination. Each relay node in DF-NC requires only one transmission time slot to forward its message. Thus, in this approach, energy usage at each relay is minimized compared to existing cooperative schemes without network coding, which require Ns time slots per relay for relay transmissions; where Ns is the number of source nodes. Simulation results show that the proposed DF-NC scheme can achieve near optimal outage probability while minimizing the number of transmissions per node, maximizing the energy efficiency of WBANs, and minimizing the delay. © 2013 IEEE