SearcharxivSearch

arXiv · 1706.02252

Dynamic Distributed Mobility Management System based on Multiple Mix-Zones over Road Networks

Abstract

Vehicle have access to the internet for communications to facilitate the need of mobility management and point of interest distribution in emerging Intelligent Transportation System (ITS) . Therefore, its obvious that by changing the road side unit frequently , may require fast handover management to mobile user (MU) for the configuration of new IP address , however the ongoing session remain un-disturbed . Recent study has shown that , the current version of IP mobility protocols are the centralized solutions, In centralized environment data traffic and data management is being routed to an anchor entity.In some situations , the vehicles may be routed in the form of group to pass from one RSU to another RSU.In response the traffic and mobility exchanged messages are increased and it will dramatically affect the performance of network.To cope with these challenges a new construct named DDMM (Dynamic Distributed Mobility management) has been anticipated by IETF DDMM organization. It has been designed on the basis of network-based CMM protocol, which is known as Proxy Mobile IPv6(PMIPv6).However , it has been realized that there can be significance difference among network based DDMM and PMIPv6 with respect to handover latency and packet loss.Therefore , we have envisioned fast handover for network-based DDMM (Dynamic Distributed Mobility management) which is based on fast handover for PMIPv6(PFMIPv6).However , it has been required to include modifications on PFMIPV6 to take on DDMM. We have designed some important additions to support this model, when MU hold IP flows and has many different anchor entities.In addition we also derived analytical expressions to check and made comparison about the handover performance of the given DDMM schemes.It has been revealed that DDMM has outperformed in terms of handover latency , session recovery and packet loss as compared with previous schemes.

Explore related subjects

Keep this discovery

BibTeXRIS

Imran Memon, Qasim Ali Arain. 2017-06-06. Dynamic Distributed Mobility Management System based on Multiple Mix-Zones over Road Networks. https://arxiv.org/abs/1706.02252

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related papers

Message-Level Scheduling for RLNC-Coded Multi-Source Traffic

This paper studies weighted decoding-delay minimization for multiple RLNC-coded message streams that compete for finite processing capacity at a destination. Packet arrivals are exogenous, while the scheduler only determines the processing order of packets already available at the destination. A trace-conditioned offline scheduling formulation shows that a batch-release subclass is strongly NP-hard even with a single processing unit. Message-Aware Innovation-Deficit Scheduling (MAIDS) is then developed to prioritize each serviceable message according to its weight and remaining decoding deficit. For a single processing unit, MAIDS is shown to be exactly optimal under nonblocking progressive arrivals with equal weights and under common activation with arbitrary positive weights, while the unrestricted weighted online problem admits no universal deterministic $O(1)$ competitive ratio. Simulation results on streaming and batch benchmarks show that MAIDS consistently reduces weighted decoding delay relative to the tested baselines, remains close to the offline optimum on average, and recovers the predicted exact performance boundaries.

cs.NI

The Towers Were Standing: A Cause Decomposition of Cellular Outages During Hurricane Helene

Hurricane Helene produced the largest absolute cell-site outage in the public FCC record, peaking at 4562 sites. The conventional model is physical: towers destroyed. Helene did destroy over 1700 miles of fibre, but almost none of it was cell sites. We present the first cause-decomposed study of the FCC's Disaster Information Reporting System, reconstructing 80 state-days and 580 county-days from 24 daily filings by two reconciled independent extractions. Damage to cell sites is negligible: 1.1% of attributed cell-site-days across six states, at most 3.8% anywhere. The sites were standing. What took them out divides by terrain: pooled, power dominates at 63.2%, but in mountainous North Carolina severed transport (backhaul) reaches 52.2% against 47.3%, and in Tennessee 69.9%. North Carolina's transport share rises from 7.0% to 85.0% across the event (\r{ho} = 0.92). Seventeen days after landfall, on 15 October, 47 sites lost transport across six contiguous North Carolina counties with no rainfall, no power loss, no damage, and recovery by the next report. Independent active-probe measurement corroborates it: responsive /24s fall 1.02% for twelve hours while Tennessee stays flat. We release the dataset. Backup power is the standard resilience investment; here it addresses the smaller half of the problem.

cs.NI

terms.txt: A Consent and Compensation Protocol for Agentic Web Access

The open web ran on an unwritten bargain: sites admitted crawlers, and search engines sent visitors back. Public measurements show that bargain breaking under AI crawlers and agents. Automated clients now make up most requests, training dominates Cloudflare-classified crawling, and the largest AI platforms fetch thousands of pages for each visitor they return. The web's common control, robots.txt, cannot express identity, purpose, terms, or price, can be circumvented, and newer alternatives are largely proprietary CDN features. We specify terms.txt, a robots.txt-style file for per-path, per-purpose machine-access terms, plus an origin-enforced exchange using Web Bot Auth signatures, signed intent, delegation tokens, HTTP 402 negotiation, and signed receipts. We define what the exchange can enforce, audit, and leave to contract. A dependency-free implementation adds 0.20 to 0.65 ms per request on one vCPU.

cs.NI