PEGASIS Protocol in Wireless Sensor Network Based on an Improved Ant Colony Algorithm

Guo, Wenjing; Zhang, Wei; Lu, Gang

doi:10.1109/etcs.2010.285

Cited by 44 publications

(31 citation statements)

References 4 publications

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“…ThePEGASIS-ANT [8] protocol uses ANT colony algorithm rather than greedy algorithm to construct the data chain. This helps to achieve global optimization.…”

Section: Types Of Pegasis Protocolsmentioning

confidence: 99%

Comparative Study of PEGASIS Protocols in Wireless Sensor Network

Rana¹,

Vhatkar²,

Atique³

2014

IOSRJCE

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“…ThePEGASIS-ANT [8] protocol uses ANT colony algorithm rather than greedy algorithm to construct the data chain. This helps to achieve global optimization.…”

Section: Types Of Pegasis Protocolsmentioning

confidence: 99%

Comparative Study of PEGASIS Protocols in Wireless Sensor Network

Rana¹,

Vhatkar²,

Atique³

2014

IOSRJCE

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“…There are some other improved routing protocols that are based on chain, see PEGASIS [22], PEGASIS-ACO [23], etc.…”

Section: Introductionmentioning

confidence: 98%

A Clustering Routing Protocol for WSN Based on Type-2 Fuzzy Logic and Ant Colony Optimization

Wei-xian

Zhang

Sun

et al. 2015

Wireless Pers Commun

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Aiming at the problem of load balancing and lifetime prolonging for wireless sensor networks (WSNs), and considering complex uncertainties existed in WSNs, this paper proposes a clustering routing protocol CRT2FLACO for WSN based on type-2 fuzzy logic and ant colony optimization (ACO). Specifically, in the cluster set-up phase, a type-2 Mamdnai fuzzy logic system (T2MFLS) is built to handle uncertainties better and balance the network load, in which three important factors-residual energy, the number of neighbor nodes and the distance to the base station (BS) of a node-are considered as inputs, and the probability of the node to be a candidate cluster head (CH) and the CH competition radius as outputs of our T2MFLS, to select the final CHs; in the steady-state phase, in order to reduce the transmission consumption, all the CHs are linked into a chain using ACO algorithm, then each CH send its data packet to the leader along link, which is a CH eventually transmitting packets to the BS. The simulation results show that the proposed routing protocol can effectively balance network load and reduce the transmission energy consumption of CHs, thus greatly prolong the lifetime of WSN.

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“…Also, EECB adopts distance threshold to avoid formation of LL (Long Link) on the chain. In [17], authors proposed a protocol based on the PEGASIS protocol but using an improved ant colony algorithm rather than the greedy algorithm to construct the chain. Compared with the original PEGASIS, this one, PEGant, can achieve a global optimization.…”

Section: Related Workmentioning

confidence: 99%

A Chain-Based Routing Protocol to Maximize the Lifetime of Wireless Sensor Networks

Hadjila¹,

Guyennet²,

Feham³

2013

WSN

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Energy conservation is a key issue in the design of systems based on wireless sensor networks. Clustering routing protocols have been developed in order to reduce the network traffic toward the sink and therefore prolong the network lifetime. An alternative of clustering is to build chains instead of clusters. In this context, we propose a routing protocol for Wireless Sensor Networks (WSN). It is based on constructing multiple chains in the direction of the sink. The first node of each chain sends data to the closest node in the same chain. This latter collects, aggregates and transmits data to the next closest node. This process repeats until reaching the last node, which aggregates and transmits data directly to the sink. An improvement of this approach is proposed. It works as follows: In addition to forming multiple chains as previously, it constructs a main chain, which includes leader node of each chain. Since, initially all main chain nodes have the same amount of power, the nearest node to the sink aggregates data from others then transmits it to the sink. In the next transmission, main chain node having the higher residual energy performs this task. Compared with the first approach, simulation results show that improvement approach consumes less energy and effectively extends the network lifetime.

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PEGASIS Protocol in Wireless Sensor Network Based on an Improved Ant Colony Algorithm

Cited by 44 publications

References 4 publications

Comparative Study of PEGASIS Protocols in Wireless Sensor Network

Comparative Study of PEGASIS Protocols in Wireless Sensor Network

A Clustering Routing Protocol for WSN Based on Type-2 Fuzzy Logic and Ant Colony Optimization

A Chain-Based Routing Protocol to Maximize the Lifetime of Wireless Sensor Networks

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