What is it about?

In recent advances in first response techniques,the uniform of each first responder working in the emergency field may be equipped with sensors and a gateway. These wearable sensors in conjunction with the gateway constitute a first responder monitoring system (FRMS). FRMS gathers data about the first responders vitals and the surrounding environment, which is then transmitted to the incident commander. For the energy-constrained nature of the FRMS, an energy-efficient slot allocation scheme is proposed. The energy-efficient scheme involves the design of an optimal slot allocation scheme based on Hungarian algorithm for sensor data collection and an energy-aware sensing and transmission scheme for sensor nodes. Simulation results demonstrate the superiority of proposed scheme in terms of lifetime, residual energy, and energy-delay product as compared to greedy and first-in-first-out (FIFO) slot allocation schemes.

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Why is it important?

- A slot allocation scheme for the sensor nodes has been proposed. An optimization problem has been formulated considering the update period of the sensor nodes. The optimization problem has been presented in the form of a bipartite graph G(N,S,ij), where edges exist between sensors (N) and possible slots (S) within the update period; with a cost ofij. The update period dictates when a slot is allocated to the sensor. The optimization problem is solved using the Hungarian algorithm, such that a slot is allocated as soon as the update period of the sensor node is reached. - A sensor on-off scheduling scheme where the scheduling decision is based on the residual energy of the sensor nodes and the expected completion time of the first response operation. The transmission occurs in the allocated slot within a frame, keeping in view the requirement for the sensor nodes to remain active till the end of the operation. This helps achieve a longer lifetime for the sensor nodes.

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This page is a summary of: Energy Aware Optimal Slot Allocation Scheme for Wearable Sensors in First Responder Monitoring System, International Journal of Ad Hoc and Ubiquitous Computing, January 2017, Inderscience Publishers,
DOI: 10.1504/ijahuc.2017.10017734.
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