Abstract
Sensor nodes located in the vicinity of a static sink drain rapidly their batteries since they have to carry more traffic burden. This situation results in network partition, holes as well as data losses. To mitigate this issue, many research proposed the use of mobile sink in data collection as a potential solution. However, due to its speed, the mobile sink has very short communication time to pick up all data from the sensor nodes within the network, therefore the sink is forced to return back to gather the remaining data. In this paper, we propose a new data collection scheme that aims to decrease the latency and enlarge the staying time between the mobile sink and the meeting points that buffer data originated from the other sensor nodes. We have also handled the case of urgent data so that they can be delivered without any delay. Our proposed scheme is validated via extensive simulations using NS2 simulator. Our approach significantly decreases the latency and prolongs the contact time between the mobile sink and sensor nodes.
Highlights
The growth of the micro-electro-mechanical systems (MEMS) technology as well as wireless communications have resulted to the development of low-cost, low-power, multifunctional sensor nodes which are characterized by their small size and that communicate untethered over short distances
The mobile sink moves in the network and pulls data buffered in sensor nodes that are within its communication range
A reliable data transmission is ensured by the use of mobile sink, this is because sensor nodes located near the sink’s trajectory upload their data directly through fewer hops
Summary
The growth of the micro-electro-mechanical systems (MEMS) technology as well as wireless communications have resulted to the development of low-cost, low-power, multifunctional sensor nodes which are characterized by their small size and that communicate untethered over short distances. In traditional wireless sensor networks, collected data is forwarded by sensor nodes to a static base station via multihop routing. Nodes located near the static sink bear more traffic burden, they drain their energy faster than the other nodes causing the hot spot problem [6], [7] (Fig. 1). The death of these nodes causes network disconnections, holes and data losses since the sink will be no more in connection with the rest of the network.
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More From: International Journal of Advanced Computer Science and Applications
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