Subtopic Deep Dive

Mobile Agents Wireless Computing
Research Guide

What is Mobile Agents Wireless Computing?

Mobile Agents Wireless Computing adapts mobile agent migration protocols for wireless ad-hoc networks, sensor networks, and MANETs with intermittent connectivity and energy-aware routing.

This subtopic focuses on enabling mobile agents to navigate dynamic wireless topologies for network management tasks like service discovery and routing. Key works include Chakraborty et al. (2006) with 234 citations on distributed service discovery and Manvi and Kakkasageri (2007) with 60 citations on multiagent multicast routing in MANETs. Over 10 foundational papers from 1999-2017 address security, fault tolerance, and synchronization in these environments.

15
Curated Papers
3
Key Challenges

Why It Matters

Mobile agents in wireless computing manage IoT edge infrastructures by enabling autonomous service discovery and fault-tolerant routing in intermittent networks (Chakraborty et al., 2006). They support intrusion detection in dynamic ad-hoc setups (Jansen et al., 1999) and secure protocol execution for distributed services (Shehada et al., 2017). Applications span satellite synchronization (Marrero et al., 2022) and energy-efficient MANET routing (Rath and Pattanayak, 2017), reducing latency in pervasive computing.

Key Research Challenges

Intermittent Connectivity Handling

Mobile agents face disruptions in ad-hoc and sensor networks due to node mobility and link failures. Itineraries must adapt dynamically without losing state (Manvi and Kakkasageri, 2007). Energy constraints exacerbate recovery challenges during migration.

Energy-Aware Agent Routing

Optimizing agent paths in resource-limited wireless nodes requires balancing computation, communication, and battery life. Protocols like ANFIS-based anycast routing address bandwidth and delay (Budyal and Manvi, 2013). Fault tolerance adds overhead in pervasive setups (Silas et al., 2012).

Security in Agent Migration

Wireless environments expose migrating agents to interception and tampering risks. Secure protocols like BROSMAP use broadcast-based authentication (Shehada et al., 2017). Balancing security with performance remains critical in MANETs (Rath and Pattanayak, 2017).

Essential Papers

1.

Toward Distributed service discovery in pervasive computing environments

Dipanjan Chakraborty, Anupam Joshi, Yaacov Yesha et al. · 2006 · IEEE Transactions on Mobile Computing · 234 citations

The paper proposes a novel distributed service discovery protocol for pervasive environments. The protocol is based on the concepts of peer-to-peer caching of service advertisements and group-based...

2.

Applying mobile agents to intrusion detection and response

Wayne Jansen, Peter Mell, Tom Karygiannis et al. · 1999 · 128 citations

Admittedly, the IDS products themselves produce many false positives and do not detect all known attacks.However, the development of IDS products is likely to parallel the past development of anti-...

3.

A Reactive Service Composition Architecture for Pervasive Computing Environments

Dipanjan Chakraborty, Filip Perich, Anupam Joshi et al. · 2003 · 96 citations

4.

Multicast routing in mobile ad hoc networks by using a multiagent system

Sunilkumar S. Manvi, Mahabaleshwar S. Kakkasageri · 2007 · Information Sciences · 60 citations

5.

A novel fault tolerant service selection framework for pervasive computing

Salaja Silas, Kirubakaran Ezra, Elijah Blessing Rajsingh · 2012 · Human-centric Computing and Information Sciences · 59 citations

Abstract Background Service selection in pervasive computing is significant as it requires identifying the best service provider based on users requirements. After identifying the best service prov...

6.

BROSMAP: A Novel Broadcast Based Secure Mobile Agent Protocol for Distributed Service Applications

Dina Shehada, Chan Yeob Yeun, Mohamed Jamal Zemerly et al. · 2017 · Security and Communication Networks · 57 citations

Mobile agents are smart programs that migrate from one platform to another to perform the user task. Mobile agents offer flexibility and performance enhancements to systems and service real-time ap...

7.

Architectures and Synchronization Techniques for Distributed Satellite Systems: A Survey

Liz Martínez Marrero, Juan Carlos Merlano Duncán, Jorge Querol et al. · 2022 · DIGITAL.CSIC (Spanish National Research Council (CSIC)) · 49 citations

Cohesive Distributed Satellite Systems (CDSSs) is a key enabling technology for the future of remote sensing and communication missions. However, they have to meet strict synchronization requiremen...

Reading Guide

Foundational Papers

Start with Chakraborty et al. (2006, 234 citations) for service discovery basics, Jansen et al. (1999, 128 citations) for intrusion applications, and Manvi and Kakkasageri (2007, 60 citations) for MANET routing foundations.

Recent Advances

Study Shehada et al. (2017, 57 citations) for secure protocols, Rath and Pattanayak (2017, 39 citations) for MANET security, and Marrero et al. (2022, 49 citations) for distributed satellite synchronization.

Core Methods

Core techniques: group-based forwarding (Chakraborty et al., 2006), multiagent systems for multicast (Manvi and Kakkasageri, 2007), ANFIS anycast routing (Budyal and Manvi, 2013), and fault-tolerant selection (Silas et al., 2012).

How PapersFlow Helps You Research Mobile Agents Wireless Computing

Discover & Search

Research Agent uses searchPapers and exaSearch to find papers on 'mobile agents MANET routing', revealing Chakraborty et al. (2006) as top-cited; citationGraph maps connections to Manvi and Kakkasageri (2007), while findSimilarPapers uncovers related works like Shehada et al. (2017).

Analyze & Verify

Analysis Agent applies readPaperContent to extract migration algorithms from Jansen et al. (1999), then verifyResponse with CoVe checks claims against 250M+ OpenAlex papers; runPythonAnalysis simulates energy itineraries from Budyal and Manvi (2013) using NumPy for statistical verification, with GRADE scoring evidence strength.

Synthesize & Write

Synthesis Agent detects gaps in wireless security coverage across papers via contradiction flagging; Writing Agent uses latexEditText and latexSyncCitations to draft itineraries section citing Rath and Pattanayak (2017), latexCompile generates PDF, and exportMermaid visualizes agent flows.

Use Cases

"Simulate energy consumption for mobile agent routing in MANETs from recent papers."

Research Agent → searchPapers → Analysis Agent → runPythonAnalysis (pandas plots battery drain from Budyal and Manvi 2013 data) → matplotlib graph output.

"Draft LaTeX survey on fault-tolerant mobile agents in wireless networks."

Synthesis Agent → gap detection → Writing Agent → latexEditText + latexSyncCitations (10 papers) + latexCompile → compiled PDF with diagrams.

"Find GitHub repos implementing secure mobile agent protocols for ad-hoc nets."

Research Agent → paperExtractUrls (Shehada et al. 2017) → Code Discovery → paperFindGithubRepo → githubRepoInspect → code snippets and forks list.

Automated Workflows

Deep Research workflow scans 50+ papers on wireless agent migration, chaining searchPapers → citationGraph → structured report with Chakraborty et al. (2006) centrality. DeepScan's 7-step analysis verifies energy models in Rath and Pattanayak (2017) with CoVe checkpoints. Theorizer generates hypotheses on synchronization from Marrero et al. (2022) literature synthesis.

Frequently Asked Questions

What defines Mobile Agents Wireless Computing?

It adapts agent migration for ad-hoc, sensor, and MANETs with intermittent links and energy routing, as in Manvi and Kakkasageri (2007).

What are key methods used?

Methods include peer-to-peer service caching (Chakraborty et al., 2006), multiagent multicast (Manvi and Kakkasageri, 2007), and BROSMAP secure broadcasting (Shehada et al., 2017).

What are the most cited papers?

Top papers are Chakraborty et al. (2006, 234 citations) on service discovery and Jansen et al. (1999, 128 citations) on intrusion detection.

What open problems exist?

Challenges include real-time synchronization in satellite CDSS (Marrero et al., 2022) and fault recovery without full replanning (Silas et al., 2012).

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