Effective fault detection and routing scheme for wireless sensor networks

Banerjee, Indrajit; Chanak, Prasenjit; Rahaman, Hafizur; Samanta, Tuhina

doi:10.1016/j.compeleceng.2013.04.027

Cited by 64 publications

(20 citation statements)

References 21 publications

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“…All the communications are over wireless links which are established between two nodes only if they are within communication range of each other. We also assume that wireless links are symmetric, so that a node can compute the approximate distance to another node based on received signal strength as proposed in Banerjee et al (2014), Baronti et al (2007), Xu et al (2010). Current implementation supports TDMA ( Association IS 2001) to provide MAC layer communication.…”

Section: Network Modelmentioning

confidence: 99%

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PSO-based approach for energy-efficient and energy-balanced routing and clustering in wireless sensor networks

Azharuddin

Jana

2016

Soft Comput

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Many schemes have been proposed for energyefficient routing in wireless sensor networks (WSNs). However, most of these algorithms focus only on energy efficiency in which each node finds a shortest path to the base station (BS), but remain silent about energy balancing which is equally important to prolong the network lifetime. In this paper, we propose particle swarm optimization-based routing and clustering algorithms for WSNs. The routing algorithm builds a trade-off between energy efficiency and energy balancing, whereas the clustering algorithm takes care of the energy consumption of gateways as well as sensor nodes. We develop an efficient particle-encoding scheme and derive a multi-objective fitness function for each of the proposed routing and clustering algorithms. The algorithms are also capable of tolerating the failure of cluster heads. We perform extensive simulations on the proposed schemes and the results are compared with the existing algorithms to demonstrate their superiority in terms of various performance metrics.

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Section: Network Modelmentioning

confidence: 99%

“…3.2. The fault can be detected by a gateway when it does not receive any the data acknowledgment receipt from its next hop gateway (Banerjee et al 2014). After the detection of failure of the next hop gateway, a gateway g i broadcasts a HELP message.…”

Section: Fault Tolerancementioning

confidence: 99%

PSO-based approach for energy-efficient and energy-balanced routing and clustering in wireless sensor networks

Azharuddin

Jana

2016

Soft Comput

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“…The work given in [7] depicts the faulty reading detection in wireless sensor networks using fuzzy logic. Fault detection and routing in wireless sensor network is discussed in [8]. The fault detection method in wireless sensor networks is described in [9].…”

Section: Related Workmentioning

confidence: 99%

Fuzzy Logic Based Fault Detection in Distributed Sensor Networks

Bhajantri¹

2018

IJSRCSE

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-Distributed Sensor Networks (DSNs) are emerging as a promising area in the real world environment. The nodes are deployed randomly in the DSN environment. The deployed nodes are leads to failure of nodes due to certain environmental conditions. The failure nodes are causes the packet dropping from source node to sink node or disconnection of network. The faulty nodes are also causes the degradation of Quality of Service (QOS) of the network. This paper proposes a fuzzy logic based efficient fault detection for routing in DSNs. This approach incorporates the performance parameters of the network in terms of energy consumption, throughput, and latency.

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“…But they are commonly constrained in energy, computational capacity and communicating capabilities. These nodes are randomly deployed in large numbers over a vast geographic area [1]. The nodes scrutinize the nearby environment and transmit their observations to the base station (BS) or sink node.…”

Section: Introductionmentioning

confidence: 99%

A Novel Approach for Boosting Base Station Anonymity in a WSN

Kumar¹,

Kumar²

2017

ijacsa

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Abstract-Nodes in a wireless sensor network scrutinize the nearby region and transmit their findings to the base station (BS) using multi-hop transmission. As the BS plays an important role in a wireless sensor network, therefore an adversary who wants to interrupt the operation of the network would avidly look for the BS location and imposes maximum damage by destroying the BS physically. The multi-hop data transmission towards BS makes a prominent pattern of the traffic (huge traffic near the BS region) that indicates the presence of BS in the nearby region and thus the location of the BS may expose to the adversaries. This work aims to provide a novel approach which will increase the BS anonymity. For this purpose, a randomly roamed BS and the special nodes are proposed to achieve the above mentioned objective. The special nodes produce a large number of high traffic regions, which are similar to the BS region. Now, there are many regions which look like BS region and hence the probability to get the BS region using traffic analysis is very low. Therefore, this approach increases the effort of adversaries in order to find the exact BS position. We have used a standard entropy model to measure the anonymity of the base station and the GSAT test is used to calculate the number of steps required to find the base station. The results show that the proposed technique provides better results in terms of anonymity compared to the existing techniques.

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Effective fault detection and routing scheme for wireless sensor networks

Cited by 64 publications

References 21 publications

PSO-based approach for energy-efficient and energy-balanced routing and clustering in wireless sensor networks

PSO-based approach for energy-efficient and energy-balanced routing and clustering in wireless sensor networks

Fuzzy Logic Based Fault Detection in Distributed Sensor Networks

A Novel Approach for Boosting Base Station Anonymity in a WSN

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