SEA-BAN: Semi-autonomous adaptive routing in wireless body area networks

Huque, Tanvir Ishtaique ul; Munasinghe, Kumudu S.; Jamalipour, Abbas

doi:10.1109/icspcs.2013.6723925

Cited by 16 publications

(9 citation statements)

References 13 publications

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“…According to Reference [59], the total radio energy consumed during data transmission is given as follows ETX(k,d,n)=ETXel∗k+Ea(n)∗k∗dn where, k is the number of bits transmitted over distance d , with the path loss coefficient n . ETXel and Ea are the transmitter energy dissipated by its circuitry and amplifier respectively.…”

Section: Proposed Energy Efficient Data Transfer In Wireless Digiaidmentioning

confidence: 99%

Validation of Wired and Wireless Interconnected Body Sensor Networks

Talpur

Shaikh

Baloch

et al. 2019

Sensors

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Current medical facilities usually lead to a very high cost especially for developing countries, rural areas and mass casualty incidents. Therefore, advanced electronic health systems are gaining momentum. In this paper, we first compared our novel off the shelf experimental wired Body Sensor Networks (BSN), that is, Digital First Aid (DigiAID) with the existing commercial product called as Hexoskin. We showed the viability of DigiAID through extensive real measurements during daily activities by both male and females. It was found that the major hurdle was wires to be worn by the subjects. Accordingly, we proposed and characterized the wireless DigiAID platform for wireless BSN (WBSN). Understanding the effect of body movements on wireless data transmission in WBSN is also of major importance. Therefore, this paper comprehensively evaluates and analyzes the impact of body movements, (a) to ensure transmission of data at different radio power levels and (b) its impact on the topology of the WBSN. Based on this we have proposed a dynamic power control algorithm that adapts the transmitting power according to the packet reception in an energy efficient manner. The results show that we have achieved substantial power savings at various nodes attached to the human body.

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Section: Proposed Energy Efficient Data Transfer In Wireless Digiaidmentioning

confidence: 99%

Validation of Wired and Wireless Interconnected Body Sensor Networks

Talpur

Shaikh

Baloch

et al. 2019

Sensors

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“…A widely used radio model [34][35][36][37] is simulated in proposed research. According to that the radio energy spent in transmission and reception can be given as E Tx and E Rx in the following equations…”

Section: Radio Modelmentioning

confidence: 99%

Bloom filter–based efficient broadcast algorithm for the Internet of things

Talpur

Shaikh

Newe

et al. 2017

International Journal of Distributed Sensor Networks

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In the Internet of things, a large number of objects can be embedded over a region of interest where almost every device is connected to the Internet. This work scrutinizes the broadcast overhead problem in an Internet of things network, containing a very large number of objects. The work proposes a probabilistic structure (bloom filter)-based technique, which uses a new broadcast structure that attempts to reduce the number of duplicate copies of a packet at every node. This article utilizes a clustering concept to make the broadcast efficient in terms of memory space, broadcast overhead, and energy usage. The unique idea of a bloom-based network uses a filter to incorporate neighbor information when taking a forwarding decision to reduce broadcast overhead. The simulation results show that parallel broadcasting among different clusters and the use of a bloom filter can achieve a reduction in broadcast overhead from hundreds to ones and tens, when compared with a conventional non-bloom-based broadcast algorithm and a bloom-based algorithm. In addition, it helps to reduce energy usage evenly throughout the network, 1/100 times, when compared with conventional broadcast (non-bloom-based) and, 1/10 times, when compared with bloom-based broadcast. This increases the lifetime of a network by having control over network density usage and communications overhead as a result of broadcasting.

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“…Cluster-based routing is proven to be very efficient in prolonging BSN lifetime through spreading the energy consumption equally among body nodes [17], [2]. In clusterbased routing, nodes are grouped into different clusters and one Cluster Head (CH) is elected per cluster.…”

Section: Introductionmentioning

confidence: 99%

Efficient cluster-based routing algorithm for body sensor networks

Boudargham

Abdo

Demerjian

et al. 2018

2018 IEEE Middle East and North Africa Communications Conference (MENACOMM)

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Body Sensor Networks have gained a lot of research interest lately for the variety of applications they can serve. In such networks where nodes might hold critical information about people's lives, designing efficient routing schemes is very important to guarantee data delivery with the lowest delay and energy consumption. Even though some cluster-based routing schemes were proposed in the literature, none of them offer a complete solution that guarantees energy and delay efficient routing in BSN. In this paper, we propose a robust clusterbased algorithm that increases the routing efficiency through every step of the routing process: cluster formation, cluster head election, and routing operation of data to the sink. The proposed algorithm is compared to existing cluster-based schemes, and MATLAB simulations are performed to assess the performance of the proposed algorithm with respect to delay and energy consumption.

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SEA-BAN: Semi-autonomous adaptive routing in wireless body area networks

Cited by 16 publications

References 13 publications

Validation of Wired and Wireless Interconnected Body Sensor Networks

Validation of Wired and Wireless Interconnected Body Sensor Networks

Bloom filter–based efficient broadcast algorithm for the Internet of things

Efficient cluster-based routing algorithm for body sensor networks

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