Paper detail

DynaChanAl: Dynamic Channel Allocation with Minimal End-to-end Delay for Wireless Sensor Networks

With recent advances in wireless communication, networking, and low power sensor technology, wireless sensor network (WSN) systems have begun to take significant roles in various applications ranging from environmental sensing to mobile healthcare sensing. While some WSN applications only require a lim- ited amount of bandwidth, new emerging applications operate with a notice- ably large amount of data transfers. One way to deal with such applications is to maximize the available capacity by utilizing the use of multiple wireless channels. This work proposes DynaChannAl, a distributed dynamic wireless channel algorithm with the goal of effectively distributing nodes on multiple wireless channels in WSN systems. Specifically, DynaChannAl targets applica- tions where mobile nodes connect to a pre-existing wireless backbone and takes the expected end-to-end queuing delay as its core metric. We use the link qual- ity indicator (LQI) values provided by IEEE 802.15.4 radios white-list potential links with good link quality and evaluate such links with the aggregated packet transmission latency at each hop. Our approach is useful for applications that require minimal end-to-end delay (i.e., healthcare applications). DynaChannAl is a light weight and highly adoptable scheme that can be easily incorporated with various pre-developed components and pre-deployed applications. We eval- uate DynaChannAl in on a 45 node WSN testbed. As the first study to consider end-to-end latency as the core metric for channel allocation in WSN systems, the experimental results indicate that DynaChannAl successfully distributes multi- ple (mobile) source nodes on different wireless channels and enables the nodes to select wireless channel and links that can minimize the end-to-end latency.

preprint2010arXivOpen access
0citations
0reviews
0saves
Nocode
Nodataset
0institutions

Next steps

Decide what to do with this paper

Use like or dislike for the fast social read. The more specific scholarly feedback stays available below when needed.

Log in to curate

Reading frame

Keep the important context close to the paper

Keep the important signals around this paper in one place: votes, save state, collection context, reviews and the metadata you need before deciding what to do next.

Institutions

Add specific reaction

Move through the context

Research map

Open full explorer

Move through nearby people, institutions, topics and adjacent work without leaving the paper page.

Building this graph slice

BZPEER is loading the nearby papers, people, topics and institutions for this page.

Structured reviews

0 review(s)

ContributeLeave structured feedbackUse the review template when you have a concrete strength, concern or method question.Open review form

No structured reviews yet. High-signal critique starts here.

Work discussion

0 comment(s)

DiscussAdd a high-signal commentKeep quick notes, caveats and replication pointers separate from formal reviews.Open comment form

No discussion yet. The first strong comment sets the tone.