Abstract

As an important field of emerging technology, wireless sensor networks (WSN) offer many new possibilities for applications such as target tracking and environmental surveillance by allowing the observer to move around freely. However, disseminating sensing data to the mobile observer raises significant design challenges for the routing scheme. In addition, WSN often operate under certain energy constraints, and therefore reducing energy dissipation in order to prolong the lifetime of the WSN is another challenge that must be faced. Most proposed routing protocols focus on achieving effective data dissemination and energy efficiency at the same time as working to satisfy the requirements of the mobile observer. However, almost all of these methods use frequent rerouting as a way of handling the mobility issue. Such rerouting increases both overheads and energy consumption, resulting in a trade-off between the need for rerouting to optimize network operations and that of maximizing network lifetime. This paper presents the Energy-aware Grid-based Routing Scheme (EAGER) for WSN with mobile observers, which is an approach that seeks to save more energy in the context of dynamic topology. In this paper, EAGER is compared to other proposed grid-based schemes by using extensive simulations. These simulations clearly show that EAGER outperforms other grid-based schemes in terms of both energy efficiency and routing performance.

Highlights

  • Recent technological advances make it possible to integrate micro-electromechanical systems, micro-sensors, and wireless communication devices into miniature, low-cost, low-powered sensor nodes

  • We propose a grid-based routing scheme, called Energy-aware Grid-based Routing (EAGER), to disseminate data between the target and multiple mobile sinks in order to prolong the lifetime of the network

  • Much research has been conducted into the dissemination of protocols with regards to either achieving effective data dissemination or energy efficiency, while working to satisfy the requirements of the mobile observer

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Summary

Introduction

Recent technological advances make it possible to integrate micro-electromechanical systems, micro-sensors, and wireless communication devices into miniature, low-cost, low-powered sensor nodes. We propose a grid-based routing scheme, called Energy-aware Grid-based Routing (EAGER), to disseminate data between the target and multiple mobile sinks in order to prolong the lifetime of the network. Finding an efficient method of disseminating the sensing data and query commands between the source and the mobile sink presents a significant challenge for the design of WSN routing schemes [2, 7, 30]. In addition to this challenge, WSN are often operated with strict energy constraints since the sensor nodes are battery-operated and resource-limited. It is clear that there is a trade-off between reducing en-

Related work
The energy-aware grid-based routing scheme
Construction of the virtual-grid structure
Election of the grid head
Time-scheduling method for the grid head
Determining the exponent n of the time-scheduling equation
Establishing an initial routing path
Handling sink mobility
Simulation results
Total energy consumption
Rerouting overheads
Average delivery latency
Conclusion and future work
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