Extended Architecture for Agilla Middleware to Reduce the Energy Efficiency for WSN

Mahadevan, G.; Nirmala, S.; Pradeep, N

doi:10.1007/978-981-10-0287-8_51

Cited by 1 publication

(2 citation statements)

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“…The improved version of the credit field algorithm has been implemented in Agilla, which is a middleware that makes it possible to program devices characterized by limited computing capabilities, such as static sensor nodes [15,16,17,25]. Agilla, whose architectural model is shown in Figure 3, is based on a programming paradigm that employs "mobile agents" as basic programming units.…”

Section: Methodsmentioning

confidence: 99%

“…Thus, the effectiveness of the whole WSARN can be maximally ensured, since it is possible to minimise the failures of the static sensor nodes that are close to obstacles or adversary areas, which are particularly stressed by the navigation algorithm. The proposed algorithm has been implemented on top of Agilla [15,16,17], a mobile agents based middleware purposely designed to fit in the limited capabilities of the Mica2 Mote platform used in the conducted tests. In particular, Mica2 Motes are employed as static sensor nodes whereas the Lego Mindstorms robots integrated with a Stargate board are employed as mobile robotic nodes.…”

Section: Introductionmentioning

confidence: 99%

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Assisted Navigation Algorithm for Wireless Sensor Actuator and Robot Networks

Frattolillo¹

2022

Int. j. commun. netw. inf. secur.

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Wireless Sensor, Actuator and Robot Networks (WSARNs) are made of mobile and static sensor nodes that interact in order to collaboratively perform specific tasks, such as supporting assisted navigation for mobile robotic nodes that carry out requested operations in hostile environments, where the human presence is impracticable. In this regard, it is worth noting that assisted navigation algorithms have a highly dynamic nature, and are implemented by sensor nodes that are characterized by limited transmission power and lean autonomy in terms of computing and memory capacity. This paper presents an improved version of the assisted navigation algorithm based on the concept of “credit field”. The main aim of the proposed algorithm is to reduce and balance the energy consumption among the static sensor nodes when running the algorithm to manage the presence of obstacles and adversary areas, thus extending the lifetime of WSARNs. The algorithm has been tested on a hybrid sensor network that employs Mica2 Motes as static sensor nodes and Lego Mindstorms robots integrated with a Stargate board developed by Crossbow as mobile nodes.

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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%