Energy Aware Simple Ant Routing Algorithm for Wireless Sensor Networks

Jabbar, Sohail; Iram, Rabia; Imran, Muhammad; Ahmad, Awais; Paul, Anand; Minhas, Abid Ali; Iftikhar, Mohsin

doi:10.1155/2015/194532

Cited by 2 publications

(2 citation statements)

References 33 publications

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“…Ant will move and find the optimal path in WSN environment first before packet submission process (Jabbar et al, 2015). This approach can reduce packet loss rate and at the same time can prevent dead node problem where only sensor nodes with high capabilities are being utilized during routing determination process.…”

Section: Advantages and Disadvantages Of Ant Colony Optimization In Wsnmentioning

confidence: 99%

Ant Colony Optimization Approaches in Wireless Sensor Network: Performance Evaluation

Nasir¹,

Ku-Mahamud²,

Kamioka³

2017

Journal of Computer Science

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Wireless Sensor Network (WSN) has been widely implemented in large sectors such as military, habitat, business, industrial, health and environment. WSN is part of a distributed system where elements such as routing, load balancing, energy efficiency, node localization, time synchronization, data aggregation and security need to be addressed to improve its efficiency, robustness, extendibility, applicability and reliability. Despite multiple approaches proposed to improve all these aspects, there is still room for improvement in order to enhance the capability of WSN in terms of routing and energy efficiency. Ant Colony Optimization (ACO) is one of the approaches used to extend WSN capabilities because its heuristic nature is very suitable with distributed and dynamic environments. This study covers the common WSN aspects and performance evaluation criteria in addition to the list of previous studies that have used ACO approaches in WSN.

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Section: Advantages and Disadvantages Of Ant Colony Optimization In Wsnmentioning

confidence: 99%

Ant Colony Optimization Approaches in Wireless Sensor Network: Performance Evaluation

Nasir¹,

Ku-Mahamud²,

Kamioka³

2017

Journal of Computer Science

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“…Some more recent algorithms attempt to limit the number of broadcasts like SARA for MANETs [22] and ESARA for Wireless Sensor Networks [23]; they adopt a controlled neighbor broadcast mechanism in route discovery to avoid flooding the network with FANTs. Each node broadcasts the FANT to its direct neighbors, and only one of them further rebroadcasts the FANT to its neighbors.…”

Section: Routing Issues In Ad Hoc Network and Related Workmentioning

confidence: 99%

A Multipath Lifetime-Prolonging Routing Algorithm for Wireless Ad Hoc Networks

Riahla¹,

Tamine²

2016

ijacsa

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Abstract-Dynamic networks can be tremendously challenging when deploying distributed applications on autonomous machines. Further, implementing services like routing and security for such networks is generally difficult and problematic. Consequently, multi-agent systems are well suited for designing distributed systems where several autonomous agents interact or work together to perform a set of tasks or satisfy a set of goals, hence moving the problem of analyzing from a global level to a local level therefore reducing the design complexity. In our previous paper, we presented a Multi Agent system model that has been adapted to develop a routing protocol for ad hoc networks. Wireless ad hoc networks are infrastructureless networks that comprise wireless mobile nodes which areable to communicate with each other outside the wireless transmission range. Due to frequent network topology changes, the limited energy and underlying bandwidth, routing becomes a challenging task. In this paper, we present a new version of routing algorithm devoted for mobile ad hoc networks. Our new algorithm helps controlling the network congestion and increasing the network lifetime by effectively managing nodes energy and link cost. The performance of our new version is validated through simulation. The Simulation results show the effectiveness and efficiency of our new algorithm compared to stae-of-the-artsolutions in terms of various performance metrics.

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Energy Aware Simple Ant Routing Algorithm for Wireless Sensor Networks

Cited by 2 publications

References 33 publications

Ant Colony Optimization Approaches in Wireless Sensor Network: Performance Evaluation

Ant Colony Optimization Approaches in Wireless Sensor Network: Performance Evaluation

A Multipath Lifetime-Prolonging Routing Algorithm for Wireless Ad Hoc Networks

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