BEES: BioinspirEd backbonE Selection in Wireless Sensor Networks

AbdelSalam, Hady S.; Olariu, Stephan

doi:10.1109/tpds.2011.100

Cited by 38 publications

(15 citation statements)

References 7 publications

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“…A research on the ABC algorithm is adopted and adapted for sensor deployment problem; sensor deployment problem in 3-D terrain, dynamic deployment problem for mobile sensor networks and routing operations in WSN [28][29][30][31][32].Other than that, BEES is a lightweight bio inspired backbone construction protocol, which can help mitigate sensor localization, clustering, and data aggregation among others [33]. This protocol had been proposed to simplify many of network management tasks like leader election, task management, and routing.…”

Section: Artificial Bee Colony Algorithmmentioning

confidence: 99%

6RLR-ABC: 6LOWPAN Routing Protocol with Local Repair using Bio Inspired Artificial Bee Colony

Ismail¹,

Awwad²,

Hassan³

2020

IJCNC

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In recent years, Micro-Electro-Mechanical System (MEMS) has successfully enabled the development of IPv6 over Low power Wireless Personal Area Network (6LoWPAN). This network is equipped with lowcost, low-power, lightweight and varied functions devices. These devices are capable of amassing, storing, processing environmental information and conversing with neighbouring sensors. These requisites pose a new and interesting challenge for the development of IEEE 802.15.4 together with routing protocol. In this work, 6LoWPAN Routing Protocol with Local Repair Using Bio Inspired Artificial Bee Colony (6RLR-ABC) has been introduced. This protocol supports connection establishment between nodes in an energyefficient manner while maintaining high packet delivery ratio and throughput and minimizing average endto-end delay. This protocol has been evaluated based on increasing generated traffic. The performance of the designed 6RLR-ABC routing protocol has been evaluated compared to 6LoWPAN Ad-hoc On-Demand Distance Vector (LOAD) routing protocol. LOAD protocol has been chosen since it is the most relevant existed 6LoWPANrouting protocol. The simulation results show that the introduced 6RLR-ABC protocol achieves lower packet average end-to-end delay and lower energy consumption compared to LOAD protocol.Additionally,the packet delivery ratio of the designed protocol is much higher than LOAD protocol. The proposed 6RLR-ABC achieved about 39% higher packet delivery ratio and about 54.8% higher throughput while simultaneously offering lower average end-to-end delay and lower average energy consumption than LOAD protocol.

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Section: Artificial Bee Colony Algorithmmentioning

confidence: 99%

6RLR-ABC: 6LOWPAN Routing Protocol with Local Repair using Bio Inspired Artificial Bee Colony

Ismail¹,

Awwad²,

Hassan³

2020

IJCNC

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“…There have been discussed many clustering algorithms [3][4][5][6][7][8][9][10][11][12][13][14][15][16][17][18][19][20] and routing techniques [21][22][23][24][25][26][27][28][29][30][31][32] in recent years for WSNs. They mainly aim to reduce the energy depletion of the sensor nodes in order to maximize the lifetime of the network.…”

Section: Related Workmentioning

confidence: 99%

“…Since such long haul communication is very energy demanding, it may not be feasible for large-scale WSNs, whereas the multihop communication is found to be an efficient approach to prolong the network lifetime in WSNs. [21][22][23][24][25][26][27][28][29][30][31][32][33][34][35] Here, the CHs send their data via other CHs to reach the BS. However, in this situation, the CHs near the BS are burdened with heavy data traffic load, as they are required to forward all incoming packets, which consequences in the premature energy depletion of such CHs.…”

Section: Introductionmentioning

confidence: 99%

Distributed fuzzy approach to unequal clustering and routing algorithm for wireless sensor networks

Mazumdar

2018

Int J Communication

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Summary Due to inherent issue of energy limitation in sensor nodes, the energy conservation is the primary concern for large‐scale wireless sensor networks. Cluster‐based routing has been found to be an effective mechanism to reduce the energy consumption of sensor nodes. In clustered wireless sensor networks, the network is divided into a set of clusters; each cluster has a coordinator, called cluster head (CH). Each node of a cluster transmits its collected information to its CH that in turn aggregates the received information and sends it to the base station directly or via other CHs. In multihop communication, the CHs closer to the base station are burdened with high relay load; as a result, their energy depletes much faster as compared with other CHs. This problem is termed as the hot spot problem. In this paper, a distributed fuzzy logic‐based unequal clustering approach and routing algorithm (DFCR) is proposed to solve this problem. Based on the cluster design, a multihop routing algorithm is also proposed, which is both energy efficient and energy balancing. The simulation results reinforce the efficiency of the proposed DFCR algorithm over the state‐of‐the‐art algorithms, ie, energy‐aware fuzzy approach to unequal clustering, energy‐aware distributed clustering, and energy‐aware routing algorithm, in terms of different performance parameters like energy efficiency and network lifetime.

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“…AbdelSalam et al proposed BioinspirEd backbonE Selection (BEES) [76], a backbone construction protocol. BEES aims to mitigate the major challenges facing the WSNs such as localization, clustering, data aggregation and routing by constructing a network backbone responsible of the major networking tasks.…”

Section: Accepted Manuscriptmentioning

confidence: 99%