Abstract

Wireless Sensor Networks are constrained by low channel utilization and limited battery capacity, so they are widely regarded as the mainly performance bottlenecks. In this paper, in order to improve channel utilization and prolong network lifetime, we investigate the cooperation of multi-hop Wireless Rechargeable Sensor Networks (WRSNs) with Successive Interference Cancellation (SIC) technology. In WRSNs, since the flow rate of each node is unknown, the power of the nodes is not constant. However, SIC will not work if the signal power levels at receive node cannot be sorted. To solve this issue, we first construct a minimum energy routing and unify the transmit rate to determine the transmit power. We can also obtain the time scheduling scheme after determining the routing and power. Next, we formulate an optimization problem, with the objective of maximizing the mobile charger’s vacation time over the rechargeable cycle. Finally, we provide a near-optimal solution and prove its feasible performance. Simulation results present that SIC can achieve the better upper boundary on throughput (compared to inference avoidance increasing about 180–450%) and no extra transmit and receive energy consumption in the multi-hop WRSNs.

Highlights

  • Wireless Sensor Networks (WSNs) have been attracted increasing attention in the field of theory and application [1]

  • We show that Successive Interference Cancellation (SIC) technique can achieve a better upper boundary on throughput and does not lead to a reduction in the vacation time ratio of mobile charger (MC)

  • We investigated the issue of the lifetime of node and the upper boundary of throughput in

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Summary

Introduction

Wireless Sensor Networks (WSNs) have been attracted increasing attention in the field of theory and application [1]. While a large number of sensor nodes are deployed in a limited area, the issue of interference will become serious in WSNs. For the problem of limited lifetime, the solutions are generally divided into two categories: energy conservation [6,7] and energy harvesting [8]. The essential idea of IM is to reduce the ill effect of interference signals on the sensor node so that they can transmit or receive more intended data. In [16], a heuristic algorithm is proposed for multi-hop wireless network, and Liu et al showed a bandwidth-aware high-throughput protocol with SIC. We find the SIC technology can make receive nodes receive more intended signals and the wireless networks work more powerfully.

Multi-Hop Network Scenario with SIC
Sensor Power Supply Model
The Mathematical Model for SIC Multi-Hop Wireless Networks
Optimization for SIC Multi-Hop Wireless Networks
The Mathematical Model for Recharging Cycle
Rechargeable Energy Cycle Construction
Mathematical Formulation
Reformulation
A Near-Optimal Solution
Proof of Near-Optimality
Simulation
Simulation Setting
Findings
Conclusions
Full Text
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